ON-SITE PROGRAM

ON-SITE PROGRAM

WELCOME TO SCIENCE IN THE AGE OF EXPERIENCE 

Today, science is becoming more challenging than ever, with innovation becoming more 

complex as scientific understanding deepens and expands. Scientists must make sense 

of mountains of data and provide solutions to stunningly complex questions, despite 

shrinking budgets and increasingly aggressive timelines. When challenges are big and 

resources are limited, inefficiency is not an option. 

Fortunately, new digital tools and techniques are helping scientists study the molecular 

world to better understand the macroscopic world, ushering in a new age of scientific 

innovation. From atoms to airplanes and multiscale modeling to medicines, we are 

in an era where the integration of biological, chemical and materials modeling and 

simulation gives science the support it needs to further discovery and knowledge. 

Scientific research is no longer hindered by the physics of the real world. 

Big data, reduced costs thanks to digital modeling, and high-speed computing offer the 

potential to reinvent how scientists do research. In addition, questions which may have 

once been posed and worked on in isolation can now be pursued with peers within and 

across disciplines via cloud-based collaborative platforms, breaking down silos of data and 

expertise and providing a common infrastructure for capturing and sharing knowledge. 

How this knowledge is shared is also being transformed. The use of 3D models, 

augmented reality and virtual reality allow others to actually experience the science 

at hand, rather than simply combing through text and tables and graphs. And this 

applies whether the science being shared pertains to the structure of a nanoparticle, 

the functioning of a human organ, the changing climate of the earth or the secrets of 

the universe revealed by distant stars. 

Similar to the way that technology is enabling economies to shift from the production 

of goods and services to the delivery of meaningful, multi-dimensional experiences, 

digital technologies are transforming science into a dynamic experience that strips 

away the ordinary routine, liberating the curiosity and creativity at the core of science. 

We are now equipped as never before to imagine a better world, to simulate a better 

world, and to make that better world a reality. 

Welcome to Science in the Age of Experience. 

MONICA MENGHINI 

Executive Vice President, Chief Strategy Officer, Dassault Systèmes

OUR SPONSORS 

Thank you to all of our 2016 Science in the Age of Experience Sponsors. 

Their sponsorship helps make this event a success. 

PLATINUM SPONSOR 

GOLD SPONSORS 

SILVER SPONSORS 

Astrix is a professional services and staffing firm focused on serving the scientific and 

engineering communities. Our experts offer an end-to-end portfolio of professional services for 

informatics and laboratory operations workflows. Founded in 1995 with 8 offices around the 

world, we provide solution experts with advanced technical skills in your scientific domain. 

Right people! Right Now! 

Founded in 1992, CST offers the market's widest range of 3D electromagnetic field simulation 

tools. CST develops high-performance software for the simulation of electromagnetic fields in 

all frequency bands. Today, the company enjoys a leading position in the 3D EM simulation 

market and employs 260 personnel around the world. 

LabAnswer is the world’s leading, vendor-independent scientific informatics consultancy. We 

provide insights and expertise for the selection, design, deployment, and support of enterprise 

scientific data systems. We are a preferred partner of leading science organizations worldwide 

because we equip them to make the critical decisions needed to realize the promise of their science. 

BRONZE SPONSORS 

ADDITIONAL SPONSORS 

4

CONTENTS 

Keynote Speakers—Monday, May 23 6 

Agenda—Monday, May 23 7 

Agenda—Tuesday, May 24 8 

Agenda—Wednesday, May 25 18 

BIOVIA Keynotes, Activities and Training 28 

BIOVIA Integrated Solutions 33 

SIMULIA Keynotes, Activities and Training 34 

SIMULIA Integrated Solutions 36 

Guide to Presentation Abstracts 44 

Science in the Age of Experience Presentation Abstracts 47 

Index 97 

Venue Maps 98 

5

KEYNOTE SPEAKERS 

Science in the Age of Experience Keynote Speakers 

Science in the Age of Experience opens on Monday, May 23, with a morning of Technology 

Updates (see SIMULIA section, page 41) and a special afternoon of plenary material, including 

speakers such as Bernard Charlès, President and CEO of Dassault Systèmes, BIOVIA CEO Max 

Carnecchia, SIMULIA CEO Scott Berkey and two keynote speakers who will highlight the emerging 

role in using the virtual world to unite simulation and materials. 

Professor Martin Karplus 

2013 Nobel Prize Winner for Chemistry 

Martin Karplus was born in Vienna, 

Austria, in 1930. He received his BA from 

Harvard College in 1950 and his PhD from 

Caltech in 1953. He worked at Oxford 

University as an NSF postdoctoral fellow 

from 1953 until 1955, when he joined 

the faculty of the University of Illinois. 

In 1960 Karplus became professor at 

Columbia University, and in 1966 at Harvard University. He was 

named Theodore William Richards Professor of Chemistry there 

in 1979. He is also Professeur Conventionné at the Université 

Louis Pasteur. He is a member of the National Academy of 

Sciences (USA), the American Academy of Arts & Sciences, 

and a foreign member of the Netherlands Academy of Arts & 

Sciences and the Royal Society of London. He is a Commander 

in the French Legion of Honor. He has received honorary 

degrees from the University of Sherbrooke, the University of 

Zurich, and Bar-Ilan University, as well as numerous awards for 

his many contributions to science, including the 2013 Nobel 

Prize in Chemistry. 

Early in his career Karplus studied magnetic resonance 

spectroscopy; of particular interest was his theoretical analysis 

of nuclear spin-spin coupling constants. He made fundamental 

contributions to the theory of reactive collisions between small 

molecules based upon trajectory calculations. He was one of 

the first researchers to apply many-body perturbation theory 

to atomic and molecular systems. He has studied quantum 

mechanical processes in biological molecules, such as the 

bonding of oxygen to hemoglobin and the photochemistry of 

visual pigments. His more recent work has been concerned with 

the development of molecular dynamics and other simulation 

methods for the elucidation of the properties of proteins and 

nucleic acids. He is now studying enzymatic reactions, protein 

folding, and the function of biomolecular motors. 

Over the years, Dr. Karplus has conducted research in many 

areas of theoretical chemistry and biochemistry and has 

presented his results in over 800 journal articles and book 

chapters, as well as two books. His primary interest has been 

to develop and employ theoretical methods for increasing 

our understanding of chemical and biological problems. His 

contributions have been instrumental in the transformation 

of theory from a specialized field to a central part of modern 

chemistry and more recently of structural biology. 

Mark A. Meili 

The Procter & Gamble Co. 

Director of Modeling and Simulation 

Mark A. Meili is Director of Modeling 

and Simulation for The Procter & 

Gamble Company in Cincinnati, Ohio. 

He has held a variety of technical and 

management positions in both R&D and 

Product Supply Engineering. Mark has 

been both a practitioner and champion 

of first principles understanding to 

reduce risk and enable robust technical decision making 

throughout his 29-year professional career. Mark first 

became involved in simulation as a learning tool in his quest 

to improve scale-up for a variety of multi-phase chemical 

processes. Mark received two Bachelor of Science degrees 

from Kansas State University, one in Mechanical Engineering 

and one in Grain Science. 

Simulation-Led Innovation: Using Simulation 

to Complement Theory and Experiment for 

Technical Learning 

Four billion times a day, P&G brands touch the lives of people 

around the world. At P&G, our people work to make sure those 

brands live up to their promise to make everyday life just a little 

bit better, now and for generations to come. Modeling and 

simulation is a vital tool to assure we can meet these promises. 

Predicting consumer experience of everyday products is 

usually a multidiscipline problem requiring contributions from 

mechanical, chemical, biological and other scientific domains. 

These interactions, by their very nature, are multi-scale ranging 

from the chemical bonds that determine interface behavior and 

material structure to the large scale manufacturing systems used 

to produce products around the world. The multidisciplinary 

nature of these problems also necessitates democratization of 

simulation knowledge throughout the organization to others 

who are not experts in these fields. 

6

AGENDA—MONDAY, MAY 23 

8:00 REGISTRATION OPENS ON FOURTH FLOOR 

10:00 BREAK IN GLOUCESTER 

10:30 TECHNICAL PROGRAM BEGINS 

SIMULIA Technology Updates (see page 41) 

11:15 SIMULIA Technology Updates (see page 41) 

12:00 EXHIBIT HALL AND 3DEXPERIENCE PLAYGROUND OPENS Salons A-E 

LUNCH IN GLOUCESTER ON THIRD FLOOR 

1:00 CONFERENCE KICKOFF, Salons F & G 

1:05 WELCOME: Max Carnecchia, BIOVIA CEO, Scott Berkey, SIMULIA CEO 

1:15 EXECUTIVE REMARKS: Bernard Charlès, President & CEO, Dassault Systèmes 

1:45 INNOVATING WITH SCIENCE: Max Carnecchia, BIOVIA CEO, Scott Berkey, SIMULIA CEO 

2:00 KEYNOTE: Professor Martin Karplus, 2013 Nobel Prize Winner for Chemistry 

2:30 BREAK: Exhibit Hall and 3DEXPERIENCE Playground, Salons A-E 

3:00 KEYNOTE: Mark Meili, Director of Modeling and Simulation, The Procter & Gamble Co. 

3:30 TECHNOLOGY FOR SCIENCE: Reza Sadeghi, BIOVIA Chief Strategy Officer, 

and Bruce Engelmann, SIMULIA R&D VP & CTO 

5:00 RECEPTION: Exhibit Hall and 3DEXPERIENCE Playground, Salons A-E 

Innovating with Science 

Scott Berkey, SIMULIA CEO, and Max Carnecchia, BIOVIA CEO, welcome everyone to Science in the 

Age of Experience—the largest science gathering hosted by Dassault Systèmes this year. Scott and 

Max will discuss how Dassault Systèmes BIOVIA and Dassault Systèmes SIMULIA are addressing 

key industry challenges and how together industries transform to create innovative products that 

are smarter, personalized, lighter, durable, sustainable, and cost-effective. 

Technology for Science in the Age of Experience 

Delivered by Reza Sadeghi, BIOVIA Chief Strategy Officer and 

Bruce Engelmann, SIMULIA R&D VP & Chief Technology Officer 

Reza Sadeghi and Bruce Engelmann will demonstrate the synergy and power of leveraging 

BIOVIA and SIMULIA solution experiences together to change the game of Science in the Age 

of Experience and accelerate science-based innovations for Products, Nature and Life. Learn 

how BIOVIA, SIMULIA and our 3DEXPERIENCE platform make possible unparalleled atomsto-product; 

multiscale and multiphysics; modeling and simulation to unlock the value of key 

megatrends such as precision medicine, additive manufacturing, advanced materials and more. 

7

AGENDA—TUESDAY, MAY 24 

7:30 BREAKFAST IN GLOUCESTER ON THIRD FLOOR 

8:00 INTEGRATED SOLUTIONS SESSION: Can Your Lab Operations be Driven by R&D Data? 

Zifo Technologies, Room: Arlington, 3rd floor 

8:30 Dassault Systèmes, BIOVIA and Science 

Max Carnecchia, BIOVIA CEO, Salons F&G 

8:45 Girish Aakalu, VP Scientific Affairs North America, Ipsen 

9:15 Improving Collaborative Drug Discovery with a Fully Capable, Cloud-based SAR Data Exchange Platform 

Jim Connelly, Head Global Research Data Management, Sanofi 

9:45 Measuring Success by Leveraging Value-Realization Practices 

Kate Lusczakoski, Director, BIOVIA Value Engineering, Fellow, BIOVIA Science Council, BIOVIA 

10:00 BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND: SALON A–E 

10:30 Building Collaboration in the Age of Information Security 

David Misemer, IT Director, 3M 

11:00 Holistic Lab: Build Lab Data "Social Network" 

Gang Xue, Scientific Director, Amgen 

11:30 From Apps to Experiences: Transforming Science with the 3DEXPERIENCE Platform 

Ted Pawela, Sr. Director, Portfolio and Product Management, BIOVIA 

12:30 LUNCH IN GLOUCESTER 

1:00 INTEGRATED SOLUTIONS SESSION: 

Learn How Email Automation Saves Mission-Critical Data for DocCompliance Users Across the Enterprise 

AdLib Software, Room: Arlington, 3rd Floor 

EXETER 

MANUFACTURING PROCESS DESIGN, 

PERFORMANCE AND IMPROVEMENT 

2:00 Made Right and Compliant First Time: Business 

Benefits of Integrating the Manufacturing Process 

and Quality Enterprise 

Kate Lusczakoski, BIOVIA 

2:45 Leveraging Derived Parameters, Old and New 

Larry Fiegland, BIOVIA 

SUFFOLK 

QUALITY & COMPLIANCE 

Quality & Compliance Executive Keynote 

Kevin O’Leary, BIOVIA 

3DEXPERIENCE and QUMAS Roadmap to the Future 

Donal O’Brien, BIOVIA 

3:30 BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND SALONS A-E 

4:00 Discoverant OSIsoft PI AF/EF Interface Implementation 

Steve Kane, Baxalta 

Annual QUCOMM Update 

Daryn Berger, Vertex Pharmaceuticals 

4:45 Pipeline Pilot 101 for Discoverant Users 

Heather Arnaiz and Karri Unruh, BIOVIA 

Extending the Value of Your License to Cure 

Solutions with Professional Services 

Sean Winslow, BIOVIA 

5:30 BIOVIA OFFSITE NETWORKING DINNER: JILLIAN'S LUCKY STRIKE - 

BUSES DEPART 6:00 PM - MEET ON 2ND FLOOR NEAR CHAMPIONS SPORTS BAR 

8

DARTMOUTH 

PREDICTIVE SCIENCES 

IN LIFE SCIENCES RESEARCH 

BIOVIA's Predictive Modeling Strategy 

Adrian Stevens, BIOVIA 

CLARENDON 

COLLABORATIVE SCIENCE 

IN LIFE SCIENCES RESEARCH 

Using Pipeline Pilot to Drive Large Scale Visualizations 

in DXP Using Information Link 

Jacquelyn Klug-McLeod, Pfizer 

3DEXPERIENCE and BioPLM 

Nicolas Froloff, BIOVIA 

Auto-Generating Components to Access Services 

with Patterns 

Steven Rieth, Pfizer 

Characterization and Cleaning of Scientific 

Data and Models 

Dana Honeycutt, BIOVIA 

Lead Optimization through Rapid Estimation of Relative 

Binding Affinities: Multiple Gene Family Evaluation 

Sirish Kaushik Lakkaraju, Pfizer 

The BioRegistration Journey at GSK 

Leah O'Brien, GSK 

Preparing for an App-Driven World in 

Scientific Informatics 

John Conway, LabAnswer 

Tuesday's agenda continues on the next page. 

9


7:30 BREAKFAST IN GLOUCESTER ON THIRD FLOOR 

8:00 INTEGRATED SOLUTIONS SESSION: Can Your Lab Operations be Driven by R&D Data? 

Zifo Technologies, Room: Arlington, 3rd floor 

8:30 Dassault Systèmes, BIOVIA and Science 

Max Carnecchia, BIOVIA CEO, Salons F&G 

8:45 Girish Aakalu, VP Scientific Affairs North America, Ipsen 

9:15 Improving Collaborative Drug Discovery with a Fully Capable, Cloud-based SAR Data Exchange Platform 

Jim Connelly, Head Global Research Data Management, Sanofi 

9:45 Measuring Success by Leveraging Value-Realization Practices 

Kate Lusczakoski, Director, BIOVIA Value Engineering, Fellow, BIOVIA Science Council, BIOVIA 

10:00 BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND: SALON A–E 

10:30 Building Collaboration in the Age of Information Security 

David Misemer, IT Director, 3M 

11:00 Holistic Lab: Build Lab Data "Social Network" 

Gang Xue, Scientific Director, Amgen 

11:30 From Apps to Experiences: Transforming Science with the 3DEXPERIENCE Platform 

Ted Pawela, Sr. Director, Portfolio and Product Management, BIOVIA 



Learn How Email Automation Saves Mission-Critical Data for DocCompliance Users Across the Enterprise 

AdLib Software, Room: Arlington, 3rd Floor 

ARLINGTON 

UNIFIED DEVELOPMENT LAB 

BERKELEY 

UNIFIED QUALITY CONTROL LAB 

2:00 The Lab in the Age of Experience 

Gene Tetreault, BIOVIA 

2:45 Unifying the Right Tools, Technology and Talent for Laboratory Workflow Optimization 

Robert Walla, Astrix 

3:30 BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND SALONS A-E 

4:00 Applying Semantic Web Technologies to Instrument Integration with ONELab Foundation 

Don Rolph, Amgen 

Dave Kostin, Amgen 

4:45 Latest Enhancements, Integrations and New Product 

Innovation for the Development Lab 

Dennis Curran, BIOVIA 

BIOVIA Capabilities for the QC Lab Today 

and in the Future 

Dan DeAlmeida, BIOVIA 

5:30 BIOVIA OFFSITE NETWORKING DINNER: JILLIAN'S LUCKY STRIKE - 

BUSES DEPART 6:00 PM - MEET ON 2ND FLOOR NEAR CHAMPIONS SPORTS BAR 

10

FAIRFIELD 

PREDICTIVE MODELING AND COLLABORATIVE 

SCIENCE FOR CHEMICALS AND MATERIALS 

SCIENCE RESEARCH 

A Computational Tool-Box for Pharmaceutical Chemical 

Development and Analytical Chemistry Scientist 

Yuri Abramov, Pfizer 

Simulating Crosslinking Using Materials Studio 

Jason DeJoannis, BIOVIA 

Understanding Molecular Sieve Structures by Combining 

Experimental and Simulated Molecular Spectra 

Istvan Halasz, PQ Corp 

Advances in Density Functional Calculations: Current 

and Future Technologies 

Stewart Clark, Durham University 


11


7:30 BREAKFAST IN GLOUCESTER 

8:00 REGISTRATION ON FOURTH FLOOR 

SIMMONS 

TRANSPORTATION & MOBILITY 

TUFTS 

TRANSPORTATION & MOBILITY II 

8:30 Coupled Eulerian-Lagrangian Contact Modeling for 

Airbag Deployment Simulation 

Bastian Näser, BMW AG 

9:15 Integration for installation Upper Body of the European 

Semi-bonnet Truck 

Ji Young Song, Hyundai Motor Company 

Prediction of Aluminum Wheel Distortion under 

Pothole Impact 

Rajesh Jeba, FCA Engineering 

Cylinder Head Valve Guide Wear Analysis of Internal 

Combustion Engine 

Cherng-Chi Chang, General Motors 

10:00 BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND: SALONS A-E 

10:30 Model Order Reduction Methods for Explicit FEM 

Çağatay Çobanoğlu, Technische Universität München - 

Fachgebiet Computational Mechanics 

11:15 Simulation of Caulking Process using Abaqus/Explicit 

Seshadri Vasudevan, Mercedes Benz Research and 

Development India 

Optimization of Heavy-Duty Cylinder Head Gasket 

Manufacturing Press Using Isight 

Jason Tyrus, Dana Holding Corp 

Simulation of Glass Forming of Automotive Windshields 

Francisco Alberto Celestino Guajardo, 

Colorado School of Mines 



1:00 INTEGRATED SOLUTIONS 

Why Intel for HPC workloads 

Michael Moretti, Intel 

TUFTS 

INTEGRATED SOLUTIONS 

FSI Simulation on a Reed Valve using SC/Tetra and Abaqus 

Yuya Ando, Cradle North America Inc. 

1:30 INTEGRATED SOLUTIONS 

Stratasys’ Additive Manufacturing Solutions 

Peter Secor, Stratasys 

2:00 TECHNOLOGY UPDATE: 

Fatigue & Durability (fe-safe) 

2:45 Evaluation of Brain Stresses during Car Crashes using 

the SAE Baja Racecar Test Vehicle 

Xiaorui Shangguan, Illinois Institute of Technology 


Fracture Mechanics and 3D Crack Mesh Analysis Software 

Greg Thorwald, Quest Integrity 

TECHNOLOGY UPDATE: 

Additive Manufacturing 

Bond Model Development for Pretensioned Concrete 

Crossties with User Materials in Abaqus 

Hailing Yu, Volpe National Transportation 

3:30 BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND 

4:00 EXECUTIVE REMARKS: Scott Berkey, SIMULIA CEO, SALONS F & G 

4:20 KEYNOTE: Structural Design and Simulation: New Methods and a New Paradigm for the Future, 

Silvestre T. Pinho, Professor, Imperial College London, SALONS F & G 

5:00 SIMULIA PRESENTATION: Accelerating Innovation with the 3DEXPERIENCE Platform, SALONS F & G 

6:30 BOARD BUSES FOR SIMULIA BANQUET: MUSEUM OF SCIENCE 

12

SALON K 

CONSUMER PACKAGED GOODS 

& CONSUMER GOODS & RETAIL 

Sloshing Analysis of Baffled Containers 

Using SPH Method 

Alireza Kermani, Veryst Engineering 

Three-dimensional Numerical Foot Model for Running 

Shoe Designing 

Tsuyoshi Nishiwaki, ASICS Corporation 

REGIS 

AEROSPACE & DEFENSE 

Crack Damage Tolerance Assessment and Leak-beforebreak 

Flow Simulation 

Jian Ye, Eaton Aerospace 

Predictions of Fluid/Structural Interactions using 

Abaqus Cosimulation and Advanced CFD Solvers 

Peter Cavallo, Combustion Research 

and Flow Technology 

Virtual Modeling's Role in Improving Impact 

Performance of Plastic Containers 

Sumit Mukherjee, Plastic Technologies, Inc. 

Evaluation of Tennis Racket Swing During Impact 

with a Tennis Ball 

Feija Zhang, llinois Institute of Technology 

Modeling of Wave Propagation Through Soft 

Electrically Tunable Metamaterials 

Michael Jandron, Naval Undersea Warfare Center 

Design and Test of a Canard for a Missile 

Ali Yetgin, Roketsan Missile 


REGIS 


Private and Public Cloud High Performance Computing 

for CAE Simulation: Benefits and Challenges 

Rodney Mach, TotalCAE 


Innovative Solutions for Complex FEA Problems 

Scott Shaw, SGI 


Plastics on the 3DEXPERIENCE Platform 

The Journey to Meet P&G's Needs for Democratizing 

and Managing Simulation via the 3DEXPERIENCE V+R 

Process Applications 

Krista Comstock, The Procter & Gamble Company 


CFD on the 3DEXPERIENCE Platform 

Weight Optimization of a Landing Gear Steering Collar 

using Tosca in Abaqus 

Syed Noman Husainie, Aventec, Inc. 

BUSES DEPART 6:30 PM—MEET NEAR ESCALATORS ON FOURTH FLOOR 


13




WELLESLEY 

NATURAL RESOURCES 

8:30 Coupling Reservoir Simulation and Geomechanical 

Modeling to Improve the Analysis of Hydrocarbon 

Reservoir Behavior 

Wouter van der Zee, Baker Hughes 

9:15 Reservoir Driven Production Risk Management 

for Oil & Gas Operations 

Indy Chakrabarti, Paradigm Geophysical 

HARVARD 

LIFE SCIENCES 

Thermal - Fluid Co-Simulation of DNA 

Sequencing Thermocycler 

Mitchell Gatesman, Becton Dickinson 

Stiffness Mapping in Biological Materials Based on 

MRI Imaging and Topology Optimization 

Luyao Cai, Purdue University 


10:30 Modeling Natural Fracture Activation Using a 

Poro-elastic Fracture Intersection Model 

Mahdi Haddad, The University of Texas at Austin 

BIOMODEX 3D Printed Surgical Simulators 

Sidarth Radjou, BIOMODEX 

11:15 Mechanics of Hydraulic Fracturing in Ultra-low 

Permeability Formations: the Role of Cavitation 

and Sorption 

Sandeep Kumar, ExxonMobil 

Simulating Blood Flow in a Living Heart Model 

Andrey Aksenov, CAPVIDIA 


WELLESLEY 

HARVARD 

1:00 

1:30 


Harmonizing High-Tech Product Performance and 

Safety by Electromagnetic and Structural Co-Design 

David Johns, CST 



Simulation Data Management in Pre and Post Processing 

Dimitrios Katramados, BETA CAE Systems 

Load Measurement and Linear Dynamics with 

Wolf Star Technologies 

Tim Hunter, Wolf Star Technologies 


Simulation Driven Design 

2:45 Implementation of an Elasto-viscoplastic Constititive 

Law in Abaqus/Standard for an Improved 

Characterization of Rock Materials 

Giorgio Volonté, Eni S.p.A. 


Industry Applications of the 3DEXPERIENCE Platform 

A Finite Element Model of the Intervertebral Disc 

Sheila Buswell, Saint Louis University 


4:00 EXECUTIVE REMARKS: Scott Berkey, SIMULIA CEO, SALONS F & G 

4:20 KEYNOTE: Structural Design and Simulation: New Methods and a New Paradigm for the Future, 

Silvestre T. Pinho, Professor, Imperial College London, SALONS F & G 

5:00 SIMULIA PRESENTATION: Accelerating Innovation with the 3DEXPERIENCE Platform, SALONS F & G 

6:30 BOARD BUSES FOR SIMULIA BANQUET: MUSEUM OF SCIENCE 

14

BOSTON UNIVERSITY 

HIGH TECH 

Predicting Post-Drop Failure of Ceramic Chip Capacitors 

using Abaqus/Explicit 

Vijeesh Vijayan, Bosch 

SALON H 

INDUSTRIAL EQUIPMENT 

Application of Abaqus-FMI Co-simulation in Metal 

Casting Press-Forming Process 

Sheng Li, CISDI Engineering Co., Ltd. 

Automated Translation of Non-Symmetric BGA Design 

into Copper-Featured Three-Dimensional Abaqus Models 

Gilad Sharon, DfR Solutions 

Analytical Frame Design for Commercial ZTR Mowers 

Alesha Kobiske, Ariens 

Vibrations Reduction and Control System Improvement 

using Abaqus/Dymola Co-Simulation 

Christophe Baroux, Digital Product Simulation, Inc. 

Automated Framework to Predict Field Failure Rate for 

Handheld Electronic Devices 

Manish Maheshwari, Motorola Mobility LLC 

Investigation on the Influence of Geometric Parameters 

of Rectangular Cross-Sections on Buckling of the 

Structure 

Neha Arieckal Jacob, United Arab Emirates University 

Crack Analysis in Molybdenum Glass Melting Electrode 

Abhishek Bhattacharyya, H.C. Starck 




CAE in a Petaflop Computing World 

Gregory A Clifford, Cray 


Simpleware and Abaqus: Doing More With 3D 

Image Data and Simulation 

Kerim Genc, Simpleware 


Abaqus Solvers (/Standard & /Explicit) 

Structural – Electromagnetic Co-Design of a Smartband 

Harish Surendranath, SIMULIA 


Multibody Systems (Simpack and Abaqus) 

A Model for Self-Pierce Rivet Process of a Boron Steel 

Martha Guerrero-Mata, Colorado School of Mines 

BUSES DEPART 6:30 PM—MEET NEAR ESCALATORS ON FOURTH FLOOR 


15




SALON I 

COMPOSITES 

8:30 Analysis Tools for Accelerated Development of 

Composite Materials 

Jonathan Buck, ATA Engineering 

9:15 Prediction of Nonlinear Viscoelastic Recovery of 

Thermoplastic Polymers using Abaqus Parallel 

Rheological Framework (PRF) Model 

Mohammed Karim, DuPont Performance Materials 

SALON J 

MATERIALS 

A Hyperelastic Visco-elasto-plastic Damage Model 

for Rubber Materials 

Kai Oide, Mechanical Design and Analysis 

Improving Rubber Tread Designs Against Heat Build- 

Up Under Cyclic Loading Using Strain Energy 

Sergio Arias, Camso 


10:30 Simplifying Composites Process Modeling in 

Abaqus with COMPRO 

Anthony Floyd, Convergent Manufacturing 

11:15 Multi-Scale Modeling of Textile Reinforced Tissue 

Engineered Heart Valves 

Scott Stapleton, University of Massachusetts Lowell 

Using an Intermediate Validation Step to Increase 

CAE Confidence 

Christopher Wolfrom, Cornell University 

Modeling of Hytrel® Thermoplastic Elastomer 

Material for High-Strain Cyclic Loading 

Pieter Volgers, DuPont de Nemours 




Structures on the 3DEXPERIENCE Platform 

2:45 A Simulation Approach to Combine Multi-Scale Model 

Features with Failure at Composites Level for Short 

Fiber Reinforced Polymer 

Zhenyu Zhang, DuPont de Nemours 


TECHNOLOGY UPDATE: Process Automation & 

Design Exploration 

Coupled Thermomechanical Forging Simulations 

and the Effect of Material Constitutive Laws 

Stuart Brown, Veryst Engineering 


These breakout sessions are of particular interest to both BIOVIA and SIMULIA attendees. 

NOTES 

16




NANTUCKET 

8:30 Data Science in the Age of Experience: Industrialized Machine Learning 

Gary Burch & Christophe Chotteau, EXALEAD 

9:15 

3DEXPERIENCE–the Platform for Sustainable Innovation and Growth 

Andy Kalambi, VP, 3DEXPERIENCE Platform 


10:30 Science Driven Design the SOLIDWORKS Way 

Shrikant Savant and Justin Burton, SOLIDWORKS 

11:15 Industrial Adoption of Additive Manufacturing 

Phillippe Savignard (CATIA), Patrick Touron (DELMIA), Chris Whiting (SIMULIA) 


NANTUCKET 

1:15 BIOSERENITY and EXALEAD Partners for Re-inventing Life Experience 

Pierre-Yves Frouin ( Bioserenity) & Alain Quemat, EXALEAD 

2:00 Multiphysics & Mechatronics 

Fabrice Pinot, CATIA 

2:45 Design Analysis & Validation for SOLIDWORKS 3DEXPERIENCE 

Nicolas Tillet, SOLIDWORKS 


4:00 ENOVIA for Science 

ENOVIA 

NOTES 

17

AGENDA—WEDNESDAY, MAY 25 



EXETER 



8:30 Using BIOVIA Discoverant and QUMAS iX for Data 

Exchange and Collaboration Between Sponsors and 

Contract Manufacturing Organizations 

Larry Fiegland, BIOVIA 

9:15 Lot Genealogy—Making the Most of Weighted Averages 

Karri Unruh, BIOVIA 

SUFFOLK 


Business Intelligence with DocCompliance 

Jeanne Maciel, Biogen 

DocCompliance: Overview of New Features and 

Enhancements 

Murtuza Vasowalla, BIOVIA 


10:30 Integrating Systems in the Next Generation 

Manufacturing Paradigm 

Yvonne Ledford, Biogen 

11:15 Optimizing Performance for 24/7 Deployments 

Joe Ruth and Karri Unruh, BIOVIA 

Enabling Collaboration with External Third Parties 

Aaron Marsh, Biogen and Aidan Quilligan, BIOVIA 

Paper to Electronic: Strategies and Solutions to 

Eliminate Paper from Manufacturing 

Chris Frost, BIOVIA 



Get the Most Out of Your Quality Management System with Custom Reporting, Room: Arlington, 3rd Floor 

EXETER 

1:00 Exploring the Synergies Between Discoverant and 

Pipeline Pilot – Templated Reporting 

Victor Shashilov, Regeneron and Larry Fiegland, BIOVIA 

SUFFOLK 

ProcessCompliance: Overview of New Features and 

Enhancements 

Chris Frost, BIOVIA 

1:45 Discoverant Implementation Best Practices 

Ken Forman, BIOVIA 

2:30 Designing Hierarchies That Suit You Well 

Aaron Spence, BIOVIA 

Panel: Enhancing the Capabilities of License to Cure 

Applications with Partner Solutions 

Panel Chair: Murtuza Vasowalla, BIOVIA 

Ask the Experts Panel: How Can License to Cure 

Applications Solve a Pressing Business Problem today? 

Chris Frost, BIOVIA and Murtuza Vasowalla, BIOVIA 


3:45 Discoverant 2017 Sneak Peak and Roadmap 

Karri Unruh, BIOVIA 

Quality & Compliance Executive Q&A 

Kevin O'Leary, BIOVIA 

4:30 CLOSING REMARKS AND FAREWELL TOAST IN SALONS F & G 

18

DARTMOUTH 

PREDICTIVE SCIENCES IN LIFE SCIENCES 

RESEARCH 

Exposing Predictive Models in Insight 

Matt Sage, BIOVIA 


COLLABORATIVE SCIENCE IN 

LIFE SCIENCES RESEARCH 

Infrastructure is Data Too: Integrating Support 

Processes to Improve Workflows and Data Quality 

Jennifer Heymont, Eisai 

Academic/Small Company Collaborations for Rare 

and Neglected Diseases 

Sean Ekins, Collaborations in Chemistry 

Using Insight for Excel as a General Query Tool 

Gabe Weatherhead, Takeda 

Lightning Round: Short Presentations from Pfizer, Ariad, LabAnswer, Saber Informatics, 

and BIOVIA About Interesting Work in the Predictive or Collaborative Sciences Areas 

Chair: Ton van Daelen, BIOVIA 

DARTMOUTH 

Molecular Modeling: From Artisan to Automation 

Adrian Stevens, BIOVIA 

Predicting Changes in Antibody-antigen 

Binding Affinities 

Sarah Sirin, Abbvie 

Leveraging 2D and 3D/Structure-based Predictive 

Capabilities in Early Antibody Discovery 

Neil Eccles, BIOVIA 


The Gilead Structure Portal – An Integrated 

Solution to Organize and Disseminate 3D 

Structural Project Data 

Uli Schmitz, Gilead 

The Future Shape of your Discovery Infrastructure 

Eric Le Roux, Discngine 

Cloud Solutions For Collaborative Sciences 

Frederic Bost and Ton van Daelen, BIOVIA 

Biological Safety Modeling 

Nicholas Froloff, BIOVIA 

Further Extending Pipeline Pilot in BIOVIA Workbook: 

Beyond Toolbar Buttons and the Analyze Tab 

Marty Berliner, Pfizer 

Wednesday's agenda continues on the next page. 

19





BERKELEY 


8:30 BIOVIA LES Implementation in Support of Biologics Clinical Manufacturing: 

Lessons Learned From a Multi-Year Journey 

Lori Harmon, Bristol-Myers Squibb 

9:15 Instrument Integration: Bridging Parallel Efforts Using LES in Quality Control and 

Instrument Data Acquisition (IDA) in Development Labs 

Jay Stimpson, Amgen 

Janford Leivera, Amgen 

Matt Potter-Racine, Amgen 


10:30 Further Extending Pipeline Pilot in BIOVIA Workbook: 

Beyond Toolbar Buttons and the Analyze Tab 

Marty Berliner,Pfizer 

11:15 Holistic Lab Program Management: How to Deliver 

Transformational Informatics Portfolio 

Huck Shapiro, Amgen and Ken Raiche, BIOVIA 

Data Migration - What to Consider 

Daniel Hunnyman, AstraZeneca and 

Gene Tetreault, BIOVIA 

Integrating Lab Systems to Gain Efficiency at 

Analytical Operations and QC Labs 

Sachin Sontakke, Gilead Sciences 



Get the Most Out of Your Quality Management System with Custom Reporting, Room: Arlington, 3rd Floor 


1:00 The Role of Unified Laboratory Management in the 

Seamless Qualification Solution Experience 

Michael Doyle, BIOVIA 

1:45 The ELN Selection Process 

Sheila Davis, RJ Reynolds 

Allison Joyce, RJ Reynolds 

2:30 Integrating Laboratory Informatics with a Process 

Intelligence System for Parenteral Formulations 

Dadong Li, Bristol-Myers Squibb and Ed Keefe, Bristol- 

Myers Squibb 

BERKELEY 

Usage of an Inventory Management and Laboratory 

Execution System at PPD Lab Operations 

Jennifer McClung, PPD 

New Adventures in Digital Continuity: Mastering 

Material Data to Drive Predictable Outcomes 

Anne Sefried, BIOVIA 

Use of Agile Methodologies to Accelerate BIOVIA LES 

Implementation 

David Redding, Perrigo 


3:45 Panel Discussion: How Can the Laboratory Bring Value to the Organization? 

Lead by Daniela Jansen, BIOVIA 


20

FAIRFIELD 

PREDICTIVE MODELING AND COLLABORATIVE SCIENCE 

FOR CHEMICALS AND MATERIALS SCIENCE RESEARCH 

Current Developments in Discrete Materials Modeling 

Stephen Todd, BIOVIA 

Developing Useful Models for Mining-Related Research 

Projects: A Bottom-Up Approach 

Andrew Jackson, Solvay 

A Virtual Materials Lab in Support of Additive Manufacturing 

Nick Reynolds, BIOVIA 

Combining Quantum Chemical Calculations with Vibrational Spectroscopies 

for Understanding Reaction Mechanisms on Catalytic Surfaces 

Simon Podkolzin, Stevens Institute of Technology 

FAIRFIELD 

Multiscale Modeling: A Brief Review 


Billions and Billions of Molecules: Exploring Chemical Space 

for Functional Molecular Materials 

Alan Aspuru-Guzik, Harvard University 

Round Table Discussion: Where Next for Materials Modeling? 



21





HARVARD 

8:30 MEET THE EXPERTS: 



9:15 Numerical and Experimental Study on the 

High Strain Rate Deformation of Tubes for 

Perforating Gun Applications 

Davide Gallina, Tenaris Dalmine SpA 

ARCHITECTURE ENGINEERING 

& CONSTRUCTION 

Applicability of Modal Dynamic Method in Seismic and 

Aircraft Crash Analyses of NPP Structures 

Vlaldimir Korotkov, Atomenergoproekt 


10:30 INTEGRATED SOLUTIONS: 

Z-set to Abaqus: Efficient Tools for Advanced Material 

Modeling, Damage Analysis and 3D Crack Propagation 

Simulation 

Nikolay Osipov, Transvalor 

INTEGRATED SOLUTIONS: 

Computing Durability for Elastomer Products 

William Mars, Endurica 

11:15 SIMULIA PRESENTATION: New Applications and New Technology in the Power of the Portfolio, SALONS F & G 

12:00 KEYNOTE: From the Barn to Best-In-Class: Evolution of Simulation at Trek Bicycles, 

Jay Maas, Analysis Engineer, Trek Bicycle Corp., SALONS F & G 




Abaqus Solvers (/Standard & /Explicit) 

ENERGY, PROCESS & UTILITIES 

2:30 SPDM at GE Design System Collaboration 

Andrew Kneeland, GE Power 

HARVARD 


Industry Applications of the 3DEXPERIENCE Platform 

ARCHITECTURE ENGINEERING 

& CONSTRUCTION 

A Nonlinear Model for Studying the Interface's 

Behavior Bloc/Mortar in a Heritage Building and 

Numerical Modeling by Abaqus 

Hicham Fihri Fassi, Université Hassan 1 FSTS 


3:45 Durability Assessment Showcase of a High Pressure 

Pipe Component using SIMULIA Technology 

Anders Winkler, Dassault Systèmes 

Finite Element Thermal Crack Analysis of Prestressed 

Double Tee Canopy Beam 

Weidong Wu, University of Tennessee at Chattanooga 


22


MEET THE EXPERTS: 

Process Automation & Design Exploration 

FATIGUE & DURABILITY 

REGIS 



(Tosca technology) and Additive Manufacturing 


Metal Fatigue: Failure and Success 

John Draper, SIMULIA 

Abaqus Scalability for Small and 

Medium Size Problems 

William Villers, TEN TECH LLC 


WAimat Suite – Advanced Material Failure Modeling 

Badri Hiriyur, Thornton Tomasetti Weidlinger Applied 

Science 


Rapid and Definitive Simulation of 

Next Generation Electronics 

Craig Hillman, DfR Solutions 



Multibody Systems (Simpack and Abaqus) 


REGIS 



MULTI-INDUSTRY 

Ductile Tearing Instability Assessment of a Cracked 

Reactor Pressure Vessel Nozzle for Larger Critical Crack 

Size Compared to the FAD Method 

Greg Thorwald, Quest Integrity Group 

High-velocity Impact Damage Modeling of Laminated 

Composites using Abaqus/Explicit and Multiscale 

Methods 

Ivica Smojver, University of Zagreb, Faculty of 

Mechanical Engineering and Naval Architecture 

ASME Cyclic Creep Evaluation of Critical Piping 

Component using CREEP Subroutine and ORNL 

Test Data 

Brent Saba, Saba Metallurgical and Plant 

Engineering Services, LLC 

FEA Prediction of Off-Road Tire 

Temperature Distribution 

Wedam Nyaaba, Missouri University of Science 


23




TUFTS 


Abaqus/Standard 


9:15 Evaluation of Effects of Trapped Fluid on 

Downhole Tool Deformation 

Allan Zhong, Halliburton 



CFD on 3DEXPERIENCE Platform and Plastics on 

3DEXPERIENCE Platform 

OPTIMIZATION 

Optimized Design of Foundations for 

Wind Turbine Towers 

Javier Rodriguez, Principia 


10:30 INTEGRATED SOLUTIONS: 

Simulating Plastic & Rubber: Time, Temperature 

& Large Deformation 

Alex Arzoumanidis, Psylotech 


Materials Gateway 4.0 for Abaqus/CAE – Preparation, 

Management and Use of Materials Data for Simulation 

Peter Cherns, Granta Design Ltd 

11:15 SIMULIA PRESENTATION: New Applications and New Technology in the Power of the Portfolio, SALONS F & G 

12:00 KEYNOTE: From the Barn to Best-In-Class: Evolution of Simulation at Trek Bicycles, 

Jay Maas, Analysis Engineer, Trek Bicycle Corp., SALONS F & G 


TUFTS 




2:30 Mechanisms-Based Fracture Model 

for Geological Materials 

Tobias Hoeink, Baker Hughes 





Topology Optimization of a Lacrosse Head 

Rob Stupplebeen, Optimal Device 


3:45 Quality Control of Pipe Lay and 

Riser Dynamic Analysis 

Lee Taylor, Taylor Marine Construction Consulting 

Heavy Duty Structural Analysis using 

Abaqus in the Cloud 

Wolfgang Gentzsch, UberCloud 


24

WELLESLEY 


Structures on 3DEXPERIENCE Platform and Benefits of 

3DEXPERIENCE Platform 


A Simplified 3D Numerical Scheme for Accurate 

Calculation of Critical Value of Pressure Draw-down of 

Weak Sand Formation 

Xinpu Shen, Halliburton 



Abaqus/CAE and Modeling Techniques 

CONSUMER PACKAGED GOODS & RETAIL 

Leveraging Low Cost Body Models for Personal Care 

Virtual Product Evaluation 

Chris Pieper, Kimberly-Clark Corporation 


Dell and the Democratization of HPC 

Ed Turkel, Dell 


Two-Way Strongly Coupled FSI Simulation using 

Abaqus & FlowVision 

Sinan Soğancı, Capvidia 

WELLESLEY 




Finite Element Analysis for Understanding 

Oil and Gas Well Deformation Mechanisms 

Jueren Xie, C-FER Technologies 





Analysis of Clothing Pressure on the 

Human Body in Motion 

Takaya Kobayashi, Mechanical Design and Analysis 

Corporation 

Flow Induced Vibration Modeling 

Bin Zhu, Baker Hughes 

Strength Analysis of Thermoplastic Containers Using 

Numerical Simulation 

Cleber Pagliosa, Grupo Smarttech 


25






Abaqus/Explicit 


9:15 Design for Optimized Performance 

Michael Doyle, BIOVIA 



Multibody Simulation (Simpack and Abaqus) 

MATERIALS 

Predicting and Designing Integrated Safety Syringe 

for Shelf Life Using Advanced Nonlinear Constitutive 

Models in Abaqus 

Dinesh Panneerselvam, Unilife Medical Solutions 





Structures on the 3DEXPERIENCE Platform 

2:30 Recent Advances in Composites Forming Simulation 

with User-Defined Material Models in Abaqus 

James Sherwood, University of Massachusetts Lowell 



Process Automation & Design Exploration 

Deployment of Pipeline Pilot Protocols within the 

V+R System of Record 

Kip Shaffer, Procter & Gamble 


3:45 Analysis of 3D Steel Concrete 

Composite Buildings using Abaqus 

Jeyarajan Selvarajah, National University of Singapore 

Multiscale Infill/Lattice Optimization Using RVE 

Jing Bi, Dassault Systemes 


These breakout sessions are of particular interest to both BIOVIA and SIMULIA attendees. 

NOTES 

26




8:30 Simulation and Analytics for Optimized Test Validation 

Frédéric Merceron & Alain Quemat, EXALEAD 

9:15 Design Guidance with Voxel Structural Analysis 

SOLIDWORKS 

NANTUCKET 


10:30 CATIA|SFE CONCEPT—A Comprehensive Paradigm 

for Design Modification and Simulation 

CATIA 

12:00 BRAND LUNCHES (SEE BELOW FOR LUNCH LOCATIONS) 

1:15 Drive Disruptive Composites Solutions for Clean Energy 

CATIA 

2:00 ENOVIA for Science 

ENOVIA 

NANTUCKET 



Brand Lunches 

Beyond the Breakouts: a 3DEXPERIENCE Platform Roundtable Discussion 

Ramesh Haldori, Dassault Sytèmes and Susan Lenzi, Dassault Systèmes, Room: Tremont 

Lunch with CATIA 

Room: Boylston 

NOTES 

27

BIOVIA KEYNOTE SPEAKERS 

Max Carnecchia 

BIOVIA, BIOVIA CEO 

Max Carnecchia is the Chief Executive 

Officer of Dassault Systèmes BIOVIA. 

After acquiring Accelrys in 2014, Dassault 

Systèmes announced the creation of 

the BIOVIA brand combining Dassault 

Systèmes’ own efforts in BioIntelligence, 

their collaborative 3DEXPERIENCE 

technologies and leading life sciences 

and materials science solutions from Accelrys. Prior to this, Mr. 

Carnecchia had served as President and CEO of Accelrys and a 

member of the Board of Directors since 2009. Mr. Carnecchia 

led Accelrys through significant growth and transformation, 

successfully transitioning the company to the leading global 

provider of Scientific Product Lifecycle Management software 

and services. 

Mr. Carnecchia holds a Bachelor of Engineering in Electrical 

Engineering from The Stevens Institute of Technology. He 

serves on the Board of Directors of Guidance Software (NASDAQ: 

GUID), which develops and provides software solutions for 

cyber security. He also serves on the Board of Directors of ALDA 

(Analytical Life Science & Diagnostics Association), an industry 

trade association for companies that develop and supply life 

science, analytical and diagnostics products and services. 

Dassault Systèmes, BIOVIA and Science 

Max Carnecchia, BIOVIA CEO, will review highlights of the 

past year at BIOVIA and address BIOVIA’s current strategy and 

direction with an emphasis on our most important initiatives 

for 2016. 

Girish Aakalu 

Ipsen, VP Scientific Affairs North America 

Bio and abstract not available 

at time of printing. 

Title: Not available at tiat time of printing 

Jim Connelly 

Sanofi, Global Head R&D 

James Connelly, Ph.D. is currently 

the Global Head of Research Data 

Management at Sanofi Pharma for the 

integrated Drug Discovery Scientific 

Core Platform. Current efforts focus 

on driving a revolution in research 

informatics systems that leverages new 

information and computer technologies 

such as cloud-based research data platforms for collaboration, 

semantic technologies, artificial intelligence and “Big/All 

Data” technologies to make all relevant data available to drug 

discovery researchers. 

Improving Collaborative Drug Discovery 

with a Fully Capable, Cloud-based SAR 

Data Exchange Platform 

All pharmaceutical companies have built internal Structure 

Activity Relationship (SAR) data systems supporting decision 

making in drug discovery/lead optimization. These large, 

complicated data platforms have become increasingly 

burdensome and expensive to manage, evolve and support, 

especially with today’s reliance on drug discovery collaboration 

and outsourcing. An early adopter of collaborative, cloud-based 

SAR data exchange systems, Sanofi continues to evolve towards 

a fully capable SAR data sharing and analysis platform “in the 

cloud.” The goal is to reduce the cost of internal systems and 

create a scalable external SAR informatics system supporting 

truly project-centric data analysis. Jim Connelly will discuss 

Sanofi’s journey towards an “All Data” environment and current 

thinking about reversing the data flow to improve the efficiency 

of SAR data analysis in collaborative drug discovery. 

Kate Lusczakoski 

BIOVIA, Director, BIOVIA Value Engineering, Fellow, 

BIOVIA Science Council 

Kate Lusczakoski, Ph.D., Director of 

Value Engineering and Science Council 

Fellow at BIOVIA, received her master's 

in neuropsychology and a doctorate 

in applied statistics and research 

methodology from the University of 

Northern Colorado. Lusczakoski has 

over a decade of experience consulting 

with pharmaceutical/biotechnology companies, health care 

organizations and federal agencies to help them achieve their 

business initiatives through the use of statistical applications 

that optimize operational excellence and data-driven decision 

making. She has served as an adjunct professor of applied 

statistics at leading Colorado universities, presented at over 

40 industry conferences around the globe and contributed to 

numerous peer-reviewed publications throughout her career. 

Measuring Success by Leveraging 

Value-Realization Practices 

Continuously monitoring and measuring the value of software 

implementations are essential activities to ensure: 

• Software capabilities are aligned with business goals 

• Clear understanding of company and industry baselining/ 

benchmarking 

• Data-driven project governance 

Kate will share the Key Performance Indicators (KPIs), touching 

on how to define, measure and present them using both 

documents and dashboards. The presentation will also examine 

BIOVIA’s industry baselining/benchmarking system and our 

Value Engineering principles with an emphasis on how to apply 

“scientific practices” to ensure that customers are making 

meaningful, data-driven decisions about their businesses. 

28

BIOVIA KEYNOTE SPEAKERS 

David Misemer 

3M, IT Director 

David Misemer joined 3M in the 1980s 

after completing a post-doc in Condensed 

Matter Physics at Ames Laboratory in 

Iowa. I have spent the majority of my 

career in mathematical modeling and 

simulation, either as a practitioner or 

manager. I have worked in computational 

electromagnetics on projects from 

photovoltaic devices, guided wave optoelectronics, and RFID. 

In 2008 I moved to IT to manage 3M’s high performance 

computing (HPC) resources. I now manage a portfolio of 

applications and resources that include HPC, CAD/CAE/CAM, 

and support for technical knowledge management. 

Building Collaboration in the 

Age of Information Security 

3M’s success as an innovative company is built on a culture 

of collaboration, where uncommon connections between a 

customer need and a solution are a regular occurrence. An 

essential element of the collaboration engine is the ability 

to reach out across divisions and businesses engaged in very 

different pursuits to find the right technology and expertise. 

Enabling and enhancing collaboration is a key consideration 

in the design and implementation of our ELN solution. As 

the Notebook team moved happily down the collaboration 

path, we had to confront new, increased concern about 

information security, which led to a new set of competing 

design considerations. Recently we have finished a corporatewide 

deployment within the United States, and we are just 

beginning deployment internationally. I will discuss what has 

working well, where we’re still learning, and where we hope to 

go in 3M’s corporate, global ELN system. 

Dr. Gang Xue 

Amgen, Scientific Director 

Dr. Gang Xue is a Scientific Director at 

Amgen Inc. located in Cambridge, MA. 

With B.S. degree in Chemistry and B.E. 

in Computer Science from Tsinghua 

University and Ph.D in Analytical 

Chemistry from the Iowa State University, 

Gang is currently leading the Digital 

Analytics group within Amgen Process 

Development organization. His group focuses on cross modality 

analytical support for the small molecule pharmaceutical 

and large moleucle bioprocess development with the latest 

technologies in analytal method development, lab automation 

and lab informatics. Gang is the Product Owner for the Amgen 

Holistic Lab Proejct in collaboration with BIOVIA’s One Lab 

product development. He also is one of the founding member of 

Allotrope Foundation. Prior to his current role, Gang worked at 

Pfizer as Associate Research Fellow with 11 years of experience 

in Analytical Development. 

Holistic Lab: Build Lab Data "Social Network" 

Because of the complexity of the R&D, biotech and 

pharmaceutical companies for years had to incorporate multiple 

enterprise lab informatics systems to address the multi-facet 

business requirements. The resulting disjointed systems with 

overlapped functionalities caused user confusion and data 

integrity challenges. Costly integration efforts after the fact 

only partially addressed the challenge and were typically 

vulnerable to recurring infrastructure or system upgrades. 

Within the Amgen Holistic Lab project, we initiated a clean 

slate solution by establishing the BIOVIA Workbook as a single 

user portal and organically connected multiple "peripheral" 

applications behind the scene, such as CISPro 

Ted Pawela 

BIOVIA, Sr. Director, Portfolio and Product Management 

Ted Pawela is a Sr. Director in Product 

and Portfolio Management, responsible 

for the Collaborative Science portfolio of 

products at BIOVIA. He has previously 

held a number of technical and business 

focused roles at Quant Economics, MSC 

Software, MARC Analysis Research 

Corporation, ANSYS, and LMS Software. 

Ted earned an MBA degree from the Instituto de Empresa in 

Madrid, an M.S. in Materials Science and Mechanics from 

Michigan State University, and a B.S. in Ocean Engineering from 

Florida Institute of Technology. 

From Apps to Experiences: Transforming Science 

with the 3DEXPERIENCE Platform 

In today’s innovation economy, customers value “experience” 

over everything else. Ted Pawela will discuss the value 

and impact of integrating BIOVIA science into with the 

Dassault Systèmes 3DEXPERIENCE® platform. During a 

short demo, Ted will show how moving BIOVIA science onto 

the 3DX platform can transform the ability of science- and 

process-based industries to innovate more effectively in 

the Age of Experience. The presentation will also include a 

discussion of BIOVIA’s roadmap to move to get there. By 

leveraging BIOVIA Scientific Services on the 3DX platform, 

BIOVIA can radically alter the customer’s journey, moving 

the enterprise from disjointed point solutions to INDUSTRY 

SOLUTION EXPERIENCES in a new class of collaborative, 

interactive, disruptively innovative business environment. 

29

BIOVIA TRAINING 

MAY 26 

7am–8am Breakfast 

TIME WORKSHOP TITLE ROOM FLOOR 

8am–12pm Advanced Pipeline Pilot—Part 1 of 2 Suffolk Third 

8am–12pm Integrating BIOVIA Workbook with Pipeline Pilot Wellesely Third 

8am–12pm Transforming GxP Areas—Optimize Your Life Science Arlington Third 

8am–12pm Increase Accessibility Using the Pipeline Pilot Mobile Collection Exeter Third 

8am–12pm Manipulate and Filter Data with Pipeline Pilot PilotScript Dartmouth Third 

8am–12pm Improving Metrology Management Clarendon Third 

8am–12pm Extending BIOVIA Insight with Pipeline Pilot Berkeley Third 

8am–12pm Introduction to Antibody Modeling and Design Fairfield Third 

1pm–5pm ScienceCloud for Developers Fairfield Third 

1pm–5pm Advanced Pipeline Pilot—Part 2 of 2 Suffolk Third 

1pm–5pm Building Pipeline Pilot Protocols—Part 1 of 2 Arlington Third 

1pm–5pm Recipe Management & Method Authoring Exeter Third 

1pm–5pm Introduction to Method Automation Dartmouth Third 

1pm–5pm Integrating BIOVIA Notebook with Pipeline Pilot Clarendon Third 

1pm–5pm Essential Elements of a Quality Management System Berkeley Third 

MAY 27 

8am–12pm Building Pipeline Pilot Protocols—Part 2 of 2 Arlington Third 

8am–12pm Environmental Monitoring Wellesely Third 

8am–12pm Leveraging Sharepoint for Regulatory, R&D, and Quality Management Suffolk Third 

12pm–1pm Grab and go lunch 

BIOVIA Training Sessions 

Thursday, May 26th: 8am–12pm 

Advanced Pipeline Pilot - Part 1 of 2 

Room: Suffolk – Third Floor 

This is a deeper dive into more advanced Pipeline Pilot topics. 

There are many sophisticated features such like advanced 

reporting and new imaging capabilities that protocol developers 

can use to get even more functionality with Pipeline Pilot. 

Who should attend? Experienced protocol developers 

This workshop will show you how to: 

• Build advanced reporting 

• Use javascript to enhance interactivity 

• Incorporate imaging into the protocols and reports 

• Use advanced reporting components to increase functionality 

Integrating BIOVIA Workbook with Pipeline Pilot 

Room: Wellesely – Third Floor 

With BIOVIA Workbook you can record, organize and secure 

experimental information to find, share and reuse critical 

knowledge globally. Using Pipeline Pilot can greatly increase 

the functionality of BIOVIA Workbook. 

Who should attend? Protocol developers with Pipeline Pilot 

experience or that completed the Building Pipeline Pilot 

Protocols class 


• Integrate Pipeline Pilot into BIOVIA Workbook 

• Allow template builders to extend the functionality of the 

BIOVIA Workbook with protocols built using all the collections 

available in Pipeline Pilot 

• Easily connect BIOVIA Workbook menus and buttons to 

Pipeline Pilot protocols. 

Transforming GxP Areas – 

Optimize your Life Science 

Room: Arlington – Third Floor 

Learn from our experts about opportunities to improve or 

enhance your business processes, technology, and people by 

leveraging best practices and solutions. 

Who should attend? QMS managers, IT managers 

In this workshop: 

• Field experts will share customer experiences 

• Provide guidance on identifying the most pressing problems 

and defining a path to solutions 

• Provide best practices and recommendations for success 

Increase Accessibility Using the Pipeline Pilot 

Mobile Collection 

Room: Exeter – Third Floor 

Pipeline Pilot Mobile Collection allows you to author protocols 

and deploy them as tasks to mobile devices. 

30






• Rapidly create and deploy mobile ready protocols with 

Pipeline Pilot 

• Produce great looking mobile optimized dashboards, charts 

and graphs 

• Leverage image capture, location services, chemistry 

sketching, and audio/video/speech handling for special 

purpose tasks 

• Deploy specific tasks to targeted user audiences - anywhere, 

anytime 

Manipulate and Filter Data with 

Pipeline Pilot PilotScript 

Room: Dartmouth – Third Floor 

PilotScript is a powerful way to manipulate and filter data 

collected and analyzed by Pipeline Pilot. 

Who should attend? Protocol developers wanting to improve 

their knowledge of PilotScript 


• Use local and global variables 

• Implement anonymous property list functions 

• Use conditional statements and loops, arrays and hash tables 

Improving Metrology Management 

Room: Clarendon – Third Floor 

Effective equipment lifecycle management is essential, and the 

Metrology Management Module is BIOVIA’s LIMS solution for 

managing equipment lifecycles. 


• Manage equipment lifecycles, including installation and 

calibration 

• Manage equipment maintenance and verification 

• Accommodate specific business practices using the flexibility 

of the COTS configuration 

Extending BIOVIA Insight with Pipeline Pilot 

Room: Berkeley - Third Floor 

Pipeline Pilot offers a powerful way to extend Insight 

functionality. 



• Extend BIOVIA Insight functionality using Pipeline Pilot protocols 

• Create new calculators, widgets, file adaptors, and custom 

exporters 

• Develop protocols that can be accessed from within Insight 

for Excel 

Introduction to Antibody Modeling and Design 

Room: Fairfield – Third Floor 

This workshop provides an introduction to the computational 

tools available to predict the 3D structures and biophysical 

properties of Antibodies. Starting with the light and heavy chain 

antibody sequences, we will demonstrate how to generate 

and optimize 3D models and undertake in silico antibody 

engineering, including binding affinity and binding stability 

mutation analysis, prediction of Post-Translational Modification 

sites and analysis of potential sites associated with undesirable 

protein aggregation. 

Technical Skill: This course is intended for users with a basic 

understanding of Discovery Studio and an interest in moving 

from a sequence to structure based perspective of antibodies 

and or antibody engineering 

Target Audience: Computational Structural Biologists 

Topics covered: 

• Design and optimize antibody affinity and stability using 

Discovery Studio 

• Construct robust 3D structure models (MODELER) 

• Refine structure models and predict stability (CHARMm) 

• Predict antigen binding sites (ZDOCK) 

• Identify undesirable Post-Translational Modification sites 

and developability characteristics (AggMap & Developability 

Index) 

ScienceCloud for Developers 

Room: Fairfield – Third Floor 

ScienceCloud is a collaboration environment that allows a 

primary user to share data with multiple collaborators without 

the risk of opening up their on-premises firewall. Automation 

and integration are key aspects of a successful ScienceCloud 

implementation. 

Who should attend? Developers and experienced Pipeline Pilot 

developers 

This workshop will show you how to use Pipeline Pilot to: 

• Define automated data upload tasks 

• Set up synchronization services between on-premises and 

cloud data stores 

• Create new analysis and visualization services and deploy to 

end users 

• Build protocols for validation and standardization on business 

rules for chemistry and biology data 

Building Pipeline Pilot Protocols - Part 1 of 2 


Using Pipeline Pilot, scientist, researchers, engineers, and 

analysts with little or no software development experience 

can create scientific protocols that can be executed through a 

variety of interfaces including other BIOVIA solutions and thirdparty 

applications. 

Who should attend? Protocol developers who are new to 

Pipeline Pilot, or need a refresher 


• Build protocols to read data from file and write data to files 

• Manipulate and filter data 

• Create subprotocols 

31


Advanced Pipeline Pilot - Part 2 of 2 


This is a deeper dive into more advanced Pipeline Pilot topics. 

There are many sophisticated features such like advanced 

reporting and new imaging capabilities that protocol developers 

can use to get even more functionality with Pipeline Pilot. 



• Build advanced reporting 

• Use javascript to enhance interactivity 

• Incorporate imaging into the protocols and reports 

• Use advanced reporting components to increase functionality 

Recipe Management & Method Authoring 

Room: Exeter – Third Floor 

Compose is BIOVIA’s next generation recipe/method authoring 

and management system. Learn how enable tech transfer 

activities from typical laboratory development scale into the kilo 

lab using Compose integrated with BIOVIA ELN. 


• Create recipes from reusable building blocks of process 

stages, operations and actions, including building more 

complex parallel processes 

• Manage libraries of process parameters and process steps 

• Integrate Compose with BIOVIA ELN to enable tech transfer 

activities 

Introduction to Method Automation 

Room: Dartmouth – Third Floor 

Eliminate paper notebooks and enhance compliance and 

laboratory throughput by automating checks and calculations. 


• Use BIOVIA Laboratory Execution Module (LES) to place dayto-day 

analyst activities “under glass” 

• Automate methods through the use of the BIOVIA Method 

Builder utility 

Integrating BIOVIA Notebook with Pipeline Pilot 

Room: Clarendon – Third Floor 

Using Pipeline Pilot can greatly increase the functionality of 

BIOVIA Notebook by making protocols available within an 

experiment. 





• Run protocols from the Home page 

• Run protocols that interact with BIOVIA Notebook from other 

applications 

Essential Elements of a 

Quality Management System 

Room: Berkeley – Third Floor 

Learn about what makes a world-class QMS environment 

This workshop will show you: 

• The essential characteristics needed for compliance and 

efficiency 

• QMS product previews and solutions 

• Engage directly with our QMS experts 

BIOVIA Training Sessions 

Friday, May 27th: 8am–12pm 

Building Pipeline Pilot Protocols - Part 2 of 2 


Using Pipeline Pilot, scientist, researchers, engineers, and 

analysts with little or no software development experience 

can create scientific protocols that can be executed through a 

variety of interfaces including other BIOVIA solutions and thirdparty 

applications. 

Who should attend? Protocol developers who are new to 

Pipeline Pilot, or need a refresher 


• Build protocols to read data from file and write data to files 

• Manipulate and filter data 

• Create subprotocols 

Environmental Monitoring 

Room: Wellesely – Third Floor 

This workshop will demonstrate BIOVIA’s LIMS solution around 

Environmental Monitoring. 


• Considerations for monitoring environmental conditions 

• Best practices for environmental monitoring 

Leveraging Sharepoint for Regulatory, R&D, and 

Quality Management 


Learn how SharePoint can be used to deploy compliant 

and validated solutions for Regulatory, R&D, and Quality 

Management within the enterprise 


• Understand QMS Sharepoint fundamanetals 

• Implement best practices for using Sharepoint for QMS 

• Interact with our BIOVIA QMS Sharepoint experts 

32

BIOVIA INTEGRATED SOLUTIONS 

BIOVIA Integrated Solutions—Talks 

Can Your Lab Operations be Driven by R&D data? 

Sujeegar Jeevanandam, Zifo Technologies 

Tuesday, May 24, 8:00 am–8:25 am 

Room: Arlington 

As the cost of R&D to bring a new drug into the market continues 

to rise, there is an ever increasing need for labs, focusing on 

efficiency and throughput. While the general trend is to achieve 

these goals through automation, implementing new systems and 

solutions, it is necessary for labs to move away from operating 

in a silo model, i.e. dependent on individuals, to a processoriented 

execution model. This requires labs to understand 

the demand and capacity of their services and effectively plan 

their operations. More often than not, scientists take it upon 

themselves to plan their lab operations and struggle with limited 

or incomplete information. This presentation will focus on how 

we can mine, translate and visualize the R&D data residing in 

LIMS and ELN systems to build a KPI scorecard to measure and 

manage demand, capacity, quality and cost of lab operations. 

Learn How Email Automation Saves Mission- 

Critical Data for DocCompliance Users Across 

the Enterprise 

Partner: Adlib Software 

Rupin Mago, Adlib Software 

Tuesday, May 24, 1:00 pm–1:25 pm 


Are you taking on risk by manually processing urgent, 

actionable enterprise email? 

Email automation can enable DocCompliance users across the 

Enterprise. 

This session is valuable if your organization: 

• Receives mission critical information via email 

• Manually creates PDFs of emails 

• Duplicates efforts by not tracking email client status 

• Struggles with rendering problems with email attachments 

• Ever experiences accidental deletions of email 

Meet with Adlib’s Chief Evangelist, Rupin Mago, and take 

this opportunity to consult about your current business data 

challenges. 

Get the Most Out of Your Quality Management 

System with Custom Reporting 

Partner: Focused Consulting 

Joe Lucadamo, Principal Consultant 

Wednesday, May 25, 12:15 pm–12:40 pm 


Discover the value of producing actionable custom reports from 

your business-critical validated systems. Topics include reporting 

terminology, requirements gathering, report development 

strategies, validation methodologies, and multi-system 

reporting. Learn the advantages of extending out-of-the-box 

searching and reporting capabilities of your existing systems. 

Achieve better 

scientific outcomes, 

faster. 

Time to value is critical in life science. Yet data 

deficiencies, collaboration constraints and 

inflexible technologies can get in the way. 

We’ll help you overcome these obstacles. 

At LabAnswer, our sole focus is scientific 

informatics. In hundreds of projects each year, 

we help clients plan, build, deploy and support 

enterprise scientific data systems. 

Let us help you make your new scientific data 

environment a reality. 

Visit us at 

Booth #2 

Realize the promise 

of your science. 

labanswer.com

SIMULIA KEYNOTE SPEAKERS 

Silvestre T. Pinho 

Imperial College London, 

Professor, Faculty of Engineering, Department of Aeronautics 

Silvestre Taveira Pinho is a Professor 

in Mechanics of Composites and an 

Engineering and Physical Science 

Research Council (EPSRC) Research 

Fellow at the Department of Aeronautics, 

Imperial College London. He was awarded 

in 2010 by the European Society for 

Composite Materials (ESCM) the prize for 

best young researcher in Composites active in Europe. Silvestre 

has been a member of the European Society for Composite 

Materials (ESCM) since June 2012. In March 2014, Silvestre 

was awarded an EPSRC fellowship for designing novel forms of 

more damage tolerant composite structures. 

Structural Design: New Methods and a New 

Paradigm for the Future 

In this talk, we will first look at a different way in which 

we have been using the software Abaqus: as a convenient 

platform for the implementation of new numerical methods 

for structural design. To illustrate this, we will present 

three developments whereby we have used creatively the 

programmable user interfaces in Abaqus to represent and then 

solve physical problems in ways that Abaqus was not designed 

to do. In particular, we will present (i) a Multi-Physics Molecular 

Dynamics Finite Element Method for the design of graphenebased 

devices, (ii) a floating node method for the accurate 

representation of kinking cracks, i.e. cracks that suddenly 

change orientation, e.g. when reaching an interface between 

two materials; and (iii) a mesh superposition technique for 

efficient concurrent multiscale structural analysis. 

Second, we will explore ongoing activities aimed at changing 

how we look at materials in structural design: from a given to 

an actual element that can be designed for a specific purpose 

together with the structure, point by point. As an example, we 

will show the design and experimental validation of carbon-fiber 

composite microstructures leading to an engineered fracture 

response with improved damaged tolerance. 

Jay Maas 

Trek Bicycle Corporation, 

Analysis Engineer 

Jay Maas has over 17 years of structural 

analysis experience having joined 

Trek in 2010. He holds a bachelor and 

master's degrees in engineering from 

the University of Wisconsin-Milwaukee. 

He is currently responsible for structural 

analysis for all of Treks product lines 

including road, speed, and mountain 

bikes as well as wheels and components. Before coming to Trek 

he worked in the aerospace industry for The Boeing Company, 

for Orbital Technologies, where he was the sole structural 

analyst for the Biomass Production System, which launched on 

Space Shuttle Atlantis STS-110, April 2002, and spent over 60 

days aboard the International Space Station and has worked as 

a consultant on the Joint Striker Fighter, small business jets, and 

a variety of wide body aircraft interiors refurbishments. 

When not in the office you can find him spending time with his 

family or racing his road and cyclocross bikes. 

From the Barn to Best-In-Class: Evolution of 

Simulation at Trek Bicycles 

The presentation will cover how simulation has become 

an integral part of the design process and has been a key 

component in the success of Trek's products. This evolution 

of simulation has led to ever increasing levels of analysis 

complexity. One such example will be discussed: Loads 

generation for a mountain bike during extreme loading events. 

This technical portion of the presentation will cover the use of 

True-Load and Abaqus to estimate loads on a full suspension 

bicycle while completing jump landings. A brief discussion will 

follow regarding where simulation within Trek needs to go to 

remain best-in-class. 

34

SIMULIA PRESENTATIONS 

Technology for Science in the Age of Experience 

Delivered by Bruce Engelmann, SIMULIA R&D VP & Chief Technology Officer, 

and Reza Sadeghi, BIOVIA Chief Strategy Officer 

Reza Sadeghi and Bruce Engelmann will demonstrate the synergy and power of leveraging BIOVIA and SIMULIA solution experiences 

together to change the game of Science in the Age of Experience and accelerate science-based innovations for Products, Nature and 

Life. Learn how BIOVIA, SIMULIA and our 3DEXPERIENCE platform make possible unparalleled atoms-to-product; multiscale and 

multiphysics; modeling and simulation to unlock the value of key megatrends such as precision medicine, additive manufacturing, 

advanced materials and more.. 

Accelerating Innovation with the 3DEXPERIENCE Platform, Salon F & G 

This lecture continues the successful General Lecture 2 presented last year in Berlin at the SIMULIA Community Conference. 

The theme is to highlight the evolution of simulation “from solve to innovate”. The session will demonstrate how the 

3DEXPERIENCE platform provides solutions to accelerate innovation by providing a platform for analysts to execute simulation 

tasks in a new, more powerful and more efficient way. Highlighted functionality will be the ability to capture and execute 

end-to-end simulation processes. Key aspects include the capability to relate the results back to design requirements and 

the ability to respond rapidly to design changes. The session will also show how the 3DEXPERIENCE platform enables 

users to leverage more from simulation when their work is captured, shared, and re-used by themselves and others. 

New Applications and New Technology in the Power of the Portfolio, Salon F & G 

This presentation focuses on technology, solving, model-building, and applications of our traditional products including 

Abaqus, fe-safe, Tosca, and Isight. When these products are used together, simulation values expand rapidly beyond 

simply building and solving FEA models to include lifecycle prediction, shape and parameter optimization, and design 

space exploration. The content of the lecture will be delivered by means of a set of new applications that illustrate the 

leverage that the SIMULIA technology can bring to all users. The lecture will show both why and how it can be done. 

SIMULIA USABILITY TESTING, EARLY-BIRD HANDS-ON, SUPPORT DESK 

SIMULIA Usability Testing: Northeastern 

Help us develop and participate in Usability Studies at Science 

in the Age of Experience with trained usability researchers and 

complete typical tasks in various parts of our software. Help us 

understand how easy or difficult it is to learn new or enhanced 

aspects of our software. Give us your feedback on everything 

you see and do! 

What is it? 

Usability studies put a participant—you—in front of 

in-development software to complete a number of tasks, thus 

allowing our developers to get the feedback they need as 

improvements and enhancements are added to our software. 

Why do this? 

Participating in a usability study lets you, the customer, give 

feedback before the release of software. It makes you a partner 

in our development effort. 

Interested in helping? 

Sessions start on Tuesday, May 24th, and run throughout 

the conference. Contact the Usability Research team at the 

registration desk on the fourth floor to schedule a session 

during the conference. 

Early-bird Hands-on: Salon H and Salon K 

Tuesday and Wednesday 

Begins 60 minutes prior to the conference 

Occurring for one hour before the conference opens on Tuesday 

and Wednesday, the Early-Bird Hands-on sessions provide 

an opportunity for interested attendees to come and explore 

the processes, functionality, user interfaces, and scope of the 

3DEXPERIENCE platform, the platform that provides the basis 

for a radically expanded visibility, value, and role of the analyst 

within his or her company. Based on Abaqus technology, the 

simulation processes within the 3DEXPERIENCE platform 

provide you with an unparalleled opportunity to amplify the 

importance of your simulation work in your enterprise. But don’t 

take our word for it, come and see for yourself! Take advantage 

of this unique opportunity to test drive the software while 

being guided by experienced hands from our field support team. 

Support Desk: Provincetown 

Open during breaks, lunch and technical paper sessions. 

Customer Support and Application Engineers will be available 

for one-on-one help and advice with your current simulation 

models at the Support Desk. Get more specific information 

about your current simulation tasks or ask about best-practices 

and get the advice of our experienced support team for how to 

start a future activity. You are welcome to bring in your models 

and files on a memory stick, if needed, for help on modelspecific 

issues. No appointment necessary! 

35

SIMULIA INTEGRATED SOLUTIONS—TUESDAY, MAY 24 

BETA CAE Systems SA 

Simulation Data Management in Pre 

and Post Processing 

Dimitrios Katramados 

BETA CAE Systems S.A., is an engineering software company 

committed to the development of state of the art CAE software 

systems that meet the requirements of all simulation disciplines. 

The company’s flagship product, the ANSA / µETA pre- & postprocessing 

suite, holds a worldwide leading position, across a 

range of industries. 

Cradle North America Inc 

FSI Simulation on a Reed Valve using SC/Tetra 

and Abaqus 

Yuya Ando 

Software Cradle is a leading provider of Computational Fluid 

Dynamics (CFD) software including SC/Tetra (general purpose 

unstructured mesh), scSTREAM (general purpose Cartesian mesh), 

and HeatDesigner (Cartesian mesh for electronics). Since inception 

in 1984, Cradle has established itself as a major innovator for 

advancing the role of simulation in engineering design. 

Cray 


Gregory A. Clifford 

Cray builds innovative systems and solutions enabling 

researchers to meet existing and future simulation and analytics 

challenges. Leveraging years of experience developing the 

world’s most advanced supercomputers, Cray brings you a 

comprehensive portfolio of high performance computing, 

storage and data analytics solutions delivering unrivaled 

performance, efficiency and scalability. 

CST 

Harmonizing High-Tech Product Performance 

and Safety by Electromagnetic and Structural 

Co-Design 

David Johns 

Founded in 1992, CST offers the market's widest range of 

3D electromagnetic field simulation tools. CST develops highperformance 

software for the simulation of electromagnetic 

fields in all frequency bands. Today, the company enjoys a 

leading position in the 3D EM simulation market and employs 

260 personnel around the world. 

Intel 


Michael Moretti 

Intel (NASDAQ: INTC) expands the boundaries of technology 

to make the most amazing experiences possible. Information 

about Intel and the work of its more than 100,000 employees 

can be found at www.intel.com 

Quest Integrity Group 

Fracture Mechanics and 3D Crack 

Mesh Analysis Software 

Greg Thorwald 

Quest Integrity is a global leader in the development and 

delivery of asset integrity and reliability management 

services and solutions. The company’s solutions consist of 

technology-enabled, advanced inspection and engineering 

assessment services and products that help organizations 

improve operational planning, increase profitability, and reduce 

operational and safety risks. 

SGI 


Scott Shaw 

SGI offers a flexible framework of HPC servers, software, storage, 

and services ideally suited for CAE workloads. In addition, the 

company has a long history of proven domain knowledge 

and key CAE application expertise. All of these capabilities are 

supported by SGI strong ISV relationships. 

Stratasys 


Peter Secor 

Stratasys is shaping our world. Our trusted 3D printing 

solutions widen the path of innovation, empowering leading 

manufacturers and groundbreaking designers, makers, 

thinkers and doers. By moving quickly from idea to solid object, 

our customers untangle complexity and uncover solutions 

with the speed and urgency our world demands. 

TotalCAE 

Private and Public Cloud High Performance Computing 

for CAE Simulation: Benefits and Challenges 

Rodney Mach 

TotalCAE sells and manages turn-key High Performance 

Computing (HPC) cluster appliances pre-integrated with 

your engineering applications including the entire SIMULIA 

portfolio. TotalCAE appliances are fully managed around-theclock 

in your datacenter by TotalCAE experts. Engineers get 

fast turnaround with minimal effort through the included and 

easy to use TotalCAE portal interface. 

Wolf Star Technologies, LLC 

Load Measurement and Linear Dynamics with 


Tim Hunter 

Wolf Star Technologies provides first to market solutions for 

Abaqus/CAE: True-Load turns any component into an N-DOF 

load transducer to generate strain correlated loading; True- 

LDE provides intuitive post-processing for linear dynamic FEA 

solutions. All Wolf Star Products automate the creation of complex 

loading events for design, optimization and durability analysis. 

36

SIMULIA INTEGRATED SOLUTIONS—WEDNESDAY, MAY 25 

Simpleware (Tuesday, May 24) 

Simpleware and Abaqus: Doing More With 3D 

Image Data and Simulation 

Kerim Genc 

Simpleware provides comprehensive software solutions and 

bespoke services for converting 3D image data (such as MRI 

and CT) into robust models for CAD, CAE and 3D Printing 

applications. The software is used within industries such as the 

Life Sciences, Materials Science, Industrial NDT and Reverse 

Engineering, and Digital Rock Physics. 

Capvidia 

Two-Way Strongly Coupled FSI Simulation using 

Abaqus & FlowVision 

Sinan Soğancı 

Capvidia is a software solution provider for Computational 

Fluid Dynamics and 3D CAD applications. We offer products for 

advanced CFD analysis, CAD Translation, Validation and Quality 

Assessment. 

Dell 

Dell and the Democratization of HPC 

Ed Turkel, Dell 

Dell Inc. listens to customers and delivers innovative technology 

and services that give them the power to do more. Dell supports 

industry, research, government and education with marketready 

HPC solutions that enable more innovation and discovery. 

Our scalable, flexible solutions readily handle compute and 

data-intensive research workloads, helping drive faster 

breakthroughs. For more information visit: www.Dell.com/hpc 

DfR Solutions 

Rapid and Definitive Simulation of Next 

Generation Electronics 

Craig Hillman 

DfR Solutions is the leading provider of quality, reliability, and 

safety services and software for the electronics industry. We 

support clients across every market as well as throughout the 

electronic component and material supply chain. 

Our innovative, Physics of Failure-based reliability software, 

Sherlock Automated Design Analysis and industry expertise 

empower customers to accelerate and improve product design 

and development, saving time, resources, and improving 

customer satisfaction. 

Endurica 


William Mars 

Endurica brings fatigue life prediction capabilities to the rubber 

industry that directly address fatigue in elastomers. We 

offer computer simulation software for engineers to address 

durability issues earlier than ever before. In addition to fatigue 

life simulation software, we also provide training, materials 

characterization, and consulting services and modeling. 

Granta Design 

Materials Gateway 4.0 for Abaqus/CAE— 

Preparation, management and use of materials 

data for simulation 

Peter Cherns 

Granta helps you get the most from investments in simulation. 

We work closely with SIMULIA to enable direct access to 

materials data from within the Abaqus/CAE software. Save time 

in your design and development process, avoid error, increase 

confidence in simulation results, and deploy them for use in 

product development. 

Psylotech 

Simulating Plastic & Rubber: time, temperature & 

large deformation 

Alex Arzoumanidis, Psylotech 

Plastic and Rubber are notoriously difficult to simulate, because 

their properties change with time and temperature. Psylotech’s 

solution is VISCA, a nonlinear viscoelastic Abaqus add-on 

module to simulate any loading and/or temperature history. 

Psylotech also provides contract testing services, producing the 

data central to this entropy based reduced time model. 

Thornton Tomasetti Weidlinger Applied 

Science 

WAimat Suite–Advanced Material 

Failure Modeling 

Badri Hiriyur 

Thornton Tomasetti is a global engineering firm offering a 

range of services including structural engineering and design, 

investigation and advanced analysis to clients in the public 

and private sectors. At the Weidlinger Applied Science practice, 

which has been an integral part of Thornton Tomasetti since 

its merger with Weidlinger Associates, Inc. in 2015, engineers 

develop and maintain advanced physics-based computational 

tools with specific focus on large-scale industrial problems. 

Thornton Tomasetti employs about 1200 people across the 

globe and is headquartered in New York City. 

Transvalor S.A. 

Z-set to Abaqus: Efficient Tools for Advanced 

Material Modeling, Damage Analysis and 3D 

Crack Propagation Simulation 

Nikolay Osipov 

Transvalor is a software services company specializing in material 

modeling. The company offers an extensive suite of simulation 

software for various classes of materials, with industrial 

applications including aerospace, energy and automotive. 

37

SIMULIA INTEGRATED SOLUTIONS HANDS-ON DEMO 

Explore the SIMULIA Eco-System: Join our Partner Integrated 

Solutions "Hands-on Demo" at Science in the Age of Experience. 

A selection of SIMULIA Alliance Partners will provide a 20 

minute hands-on demonstration session at Science in the 

Age of Experience. The demonstrations will show how their 

software integrates with SIMULIA software to create a 

complete, seamless solution. To book your place at any of the 

demonstrations please come to the registration desk. 

DfR Solutions 

Tuesday May 24, 10:05am 

The software demonstration is intended to showcase the speed 

and ease of getting a reliability prediction of a circuit card using 

Abaqus/CAE and Sherlock. We will take the output files from an 

ECAD software and create a full 3D model that is ready to run 

Abaqus in less than 5 minutes. We will then run a mechanical 

vibration analysis and create a prediction for the time to failure 

of components on the board. 

Endurica 

Tuesday May 24, 12:25pm 

Learn how to use fe-safe/rubber’s elastomer material models 

and Critical Plane Analysis algorithm to simulate and diagnose 

the fatigue failure process in a CV boot. 

Critical Plane Analysis of Elastomeric CV Boot Durability 

The analysis of elastomer fatigue performance under real-world 

loading conditions has never been easier or more accurate. 

Come learn how to use fe-safe/rubber’s elastomer material 

models and Critical Plane Analysis algorithm to simulate and 

diagnose the fatigue failure process in a CV boot. 

Granta Design 


The demonstration will show how analysts can assign material 

models from their corporate material database to their CAE models 

in a seamless, traceable way via GRANTA MI:Materials Gateway. 

GRANTA MI is the leading materials information management 

system. Typically hosted on the corporate network, it can be 

accessed via an embedded application within Abaqus/CAE. 

This MI:Materials Gateway application enables users to find 

material CAE models from within their approved corporate 

materials database. Material models can be found through text 

and/or property searches. These can then be imported into their 

CAE models. 

The imported CAE material models include metadata which 

enables MI:Materials Gateway to inform users of updates or 

additional models. 

Psylotech 


Psylotech will demonstrate Visca. Polymer properties change 

with time, temperature and loading history. Polymers also 

heat during cyclic loading. Psylotech's VISCA is an easy-toimplement, 

nonlinear viscoelastic Abaqus add-on module. The 

demonstration will highlight VISCA's strain rate and temperature 

dependence capabilities, and also its self-generated heat during 

cyclic loading on plastic and rubber. 

Transvalor 


The demonstration will present the crack propagation 

simulation capabilities of Z-cracks software. Z-cracks fracture 

modeling technology relies on adaptive re-meshing approaches 

and accurate stress intensity factor evaluation to accurately 

predict the cracks path and propagation kinetics 

BETA CAE Systems SA 

Wednesday May 25, 10:05am 

The demonstration of BETA CAE Systems S.A. will highlight the 

last part of the presentation which is related to the reporting 

capabilities of META post-processor for creating and exporting 

.pptx and .xlsx files, as well as saving model data, results of 

interest and the reports within a single file. This file, called a 

META Project is binary and can be encrypted and compressed. 

It can be opened by META and META-Viewer, a licence-free and 

reduced functionality version of META that can be installed as 

a standalone software or a plugin in MS-PowerPoint and web 

browsers. 

CST 

Wednesday: May 25, 1:05pm 

This demonstration will provide attendees an insight into CST’s 

electromagnetic field simulator CST STUDIO SUITE TM and 

show an example of the interaction between electromagnetic 

fields and the human body. We will discuss the challenges 

of harmonizing product performance and safety, as well as 

the importance of multi-disciplinary co-design to optimize 

electromagnetic and structural design goals. 

Capvidia 


The demonstration will show the 2-Way Strongly Coupled FSI 

between Abaqus & FlowVision including: Automatic Re-Meshing 

(Not Limited to Mesh Deformation) Coupling; Natural Data 

Exchange between CFD and FE Meshes (No Intermediate Mesh 

like MPccI) Multi-Physics Manager; (Re)Starting Co-Simulation 

& Real-Time Results Monitoring; Completely Independent 

(Implicit/Explicit) Integration Steps; Data Exchange at User- 

Defined Number of Time Steps. 

38

SIMULIA INTEGRATED SOLUTIONS HANDS-ON DEMO 

Quest Integrity 


The FEACrack demonstration will examine surface crack meshes 

in two examples: a cylinder with an axial seam weld, and a userdefined 

geometry using tied contact. The mesh options will be 

used to quickly generate crack meshes for Abaqus analysis, and 

the post processing module will obtain crack front result values. 



This workshop will recover the loading in an SAE Baja car suspension 

linkage using True-Load software. The car was designed and 

built by students at UW-Milwaukee. The participants will start 

with an FEA model and create loading time histories which 

create measured strain correlation within 5% on all channels. 

Software Cradle 

Wednesday May 25, 10:05am 

SC/Tetra is general purpose Computational Fluid Dynamics 

(CFD) software. 

It is a finite volume solver based on unstructured mesh. SC/ 

Tetra can couple with Abaqus using the Co-Simulation Engine 

(CSE) to solve Fluid Structure Interaction (FSI) problems. In this 

demo we will briefly go over the necessary steps to complete 

the setup in CFD and show the users how to run FSI simulations 

using SC/Tetra and Abaqus 

NOTES 

39

SIMULIA ACADEMIC POSTER SHOWCASE 

We are proud to present our third annual Academic Poster Showcase at Science in the Age of 

Experience! You are welcome to stop by our poster display, located in the Ballroom Foyer, at 

any time, but please make a note to join us during the afternoon break, Tuesday, May 24th for 

a special author “Meet and Greet”. While you’re there, please VOTE for your favorite poster. The 

submitting author will receive an iPad Air! 

Aerospace & Defense 

1. Texas A&M, USA 

Christopher Bertagne 

2. Texas A&M, USA 

Brent Bielefeldt 

3. Texas A&M University, USA 

William Scholten 

4. Texas A&M University, USA 

Mahsa Tajdari 

5. University of California Irvine, USA 

Nicolas Ruvalcaba 

6. West Virginia University, USA 

Marta Maria Moure Cuadrado 

Architecture, Engineering & Construction 

7. Heriot-Watt University, UK 

Danmei Sun 

8. University of California Irvine, USA 

Ladan Salari-Sharif 

9. University of Florida, USA 

Ted Krauthammer 

10. University of Virginia, USA 

Wenqiong Tu 

Consumer Goods 

11. Queen's University Belfast 

James Nixon 

Energy, Process & Utilities 

12. California State University, Sacramento 

Benjamin Fell 

13. The University of Texas at Austin, USA 

Mahdi Haddad 

14. The University of Texas at Austin, USA 

Mahdi Haddad 

High Tech 

15. Sogang University, Republic of Korea 

Felix Rickhey 

Life Sciences 

16. Saint Louis University, USA 

Sheila Buswell 

17. University College London, UK 

Benedetta Biffi 

18. University College London, UK 

Giorgia Maria Bosi 

19. University of Kentucky, USA 

Iman Shojaei 

20. University of Orleans, France 

Ridha Hambli 

21. University of Oxford, UK 

Yang Xia 

22. University of Oxford, UK 

Jakub Kwiecinski 

23. Wichita State University, USA 

Rajeev Nair 

Transportation & Mobility 

24. The Ohio State University, USA 

Zhong Chen 

25. University of Technology of Compiègne, 

France 

Qi Yin 

26. Wichita State University, USA 

Sachin Patil 

27. Wrexham Glyndwr University, Wales 

Alison McMillan 

Dr. Wang Zhongkui's winning 2015 poster. 

40

SIMULIA MEET THE EXPERTS, 

TECHNOLOGY UPDATES, SPECIAL INTEREST GROUPS 

Technology Updates 

Science in the Age of Experience will present 10 Technology 

Update presentations in parallel. The material will be repeated 

four times during the conference allowing attendees to attend 

four of the 10 topics live at the event. Here are the locations for 

Monday's Technology Updates at 10:30 and 11:15 a.m. 

• Simulation Driven Design—Wellesley 

• Additive Manufacturing—Tufts 

• Fatigue & Durability—Simmons 

• Abaqus Solvers (/Standard & /Explicit)—Boston University 

• CFD on the 3DEXPERIENCE Platform—Regis 

• Multibody Simulations (Simpack and Abaqus)—MIT 

• Plastics on the 3DEXPERIENCE platform—Nantucket 

• Structures on the 3DEXPERIENCE Platform—Tremont 

• Process Automation & Design Exploration—Boylston 

• Industry Applications of the 3DEXPERIENCE Platform—Harvard 

For Tuesday and Wednesday room assignments, 

please see the agenda. 

SIMULIA Meet the Experts 

At the Meet the Experts sessions, attendees can gather and 

meet directly with technology leaders within SIMULIA to ask 

questions, make suggestions, ask for help, exchange business 

cards, and engage with the teams that are directly responsible 

for putting the power in the SIMULIA portfolio. Attendees are 

free to go from one topic to another within these sessions. 

This year’s Meet the Experts topics (subject to change) are: 

• Simulation Driven Design (Tosca technology)—Regis 

• Additive Manufacturing—Regis 

• Fatigue & Durability ( fe-safe)—Harvard 

• Abaqus/CAE & Modeling techniques—Salon K 

• Abaqus/Explicit: Performance, Contact, 

Materials Modeling—Salon I 

• Abaqus/Standard: Linear Dynamics, Vibration Response, 

NVH, Fracture Mechanics, Contact Modeling, Materials 

Modeling, Performance—Tufts 

• Multibody Simulations (Simpack and Abaqus)—Salon J 

• Process Automation & Design Exploration: 3DEXPERIENCE 

SPDM with Isight Technology—Salon H 

• CFD on 3DEXPERIENCE Platform—Simmons 

• Plastics on 3DEXPERIENCE Platform—Simmons 

• Structures on 3DEXPERIENCE Platform—Wellesley 

• Benefits of 3DEXPERIENCE Platform: Meshing & Modeling, 

Visualization, Co-Simulation & Openness, Democratization of 

Simulation—Wellesley 

Special Interest Groups (Thursday Only) 

Life Sciences Special Interest Group 

Room: Tremont 

Attendees are invited to attend a Life Sciences Special Interest 

Group (SIG) meeting, taking place on Thursday May 26, 2016 in 

Boston alongside Science in the Age of Experience. 

Workshop Agenda 

8:00 Breakfast / Registration 

8:30 Welcome 

12:00 Lunch 


Room: Boylston 

Additive Manufacturing, also known as 3D printing, is a 

manufacturing technology that has been evolving since the 

1980s. The technology has offered designers the freedom to 

create shapes to meet functional requirements without the 

limitations of conventional manufacturing techniques. In this 

session, we will work through an end-to-end workflow starting 

with generative design, optimization considerations for additive 

manufacturing, material processing as well as the layer-wise 

simulation of the process to predict stresses and distortions. 

Multiscale Simulations 

Most materials have complex microstructures that determine 

their behavior at the continuum level. To effectively predict 

that behavior, we need to understand the effect of the 

microstructures at different length scales. In this session, 

we will work through a multiscale workflow starting with 

the construction and characterization of thermoplastically 

cross-linked elastomeric co-polymers to using the material 

properties to predict their behavior at the part level. 

Workshop Agenda 

8:30 Introductions and Overview of the Workshop 

8:45 Design for Additive Manufacturing 

9:15 Layer-by-layer simulation of the Additive 

Manufacturing Processes 

10:15 Material Considerations for Additive Manufacturing 

10:45 Break 

SIMULIA for Life Sciences—Power of Portfolio 

SIMULIA for Life Sciences— 

Power of the 3DEXPERIENCE Platform 

SIMULIA for Life Sciences—Power of Human Simulation 

1:00 Life Sciences SIG Adjourns 

11:00 Multiscale Material Modeling 

12:00 Workshop ends 

41

SIMULIA TRAINING: THURSDAY, MAY 26 

Enhance Your Knowledge 

with SIMULIA Training 

On Thursday May 26, we will present the SIMULIA Training Day. 

This day was historically known as the Advanced Seminar day. 

We have revamped and expanded the day with more technical 

courses and seminars. 

7:00 Breakfast 

8:30 Training Day Begins 

10:30 Break 

12:30 Lunch 

3:30 Break 

5:30 Conclusion 

Technology Seminars 

Strategies and Tools for 

Material Model Calibration 

Room: Wellesley 

The key to success with FEA simulation is correlation to the 

real-world behavior of physical behavior and products. Lack 

of physical correlation is often directly related to the lack of 

accuracy in the material model. This class will give you extra 

tools to assess the material models that you are currently using 

and showcase new material models in Abaqus that might 

better capture the physics important to your component and its 

loading environment. We will cover advanced material modeling 

for metals, elastomers, polymers and engineering plastics. 

Attendees will come away with a thorough understanding of 

best practices that they can immediately apply in their projects 

to improve accuracy and performance. This seminar—back by 

popular demand—is an updated version of the seminar offered 

at the 2015 SIMULIA Community Conference. 

Best practices for Contact Modeling for Accuracy 

and Accelerated Convergence 

Room: Simmons 

This course covers current perspectives from SIMULIA 

R&D on best practices for contact modeling, recent 

contact enhancements, diagnosing issues, understanding 

approximations, making informed modeling decisions, and 

getting reliable results. This seminar will not focus on teaching 

user interface details. This seminar is geared toward helping 

those with Abaqus contact modeling experience obtain a next 

level of understanding and success, especially for implicit 

contact analyses. Additional likely topics include development 

trends and approaches to common yet challenging modeling 

scenarios brought forward by attendees. The seminar will focus 

on the established Abaqus product line as well as the new 

technology for linear and CAD-enhanced contact supported by 

the 3DEXPERIENCE portfolio, plus other enhancements and 

new workflows resulting from those enhancements. 

Multibody Simulation using Simpack 

for Abaqus Users 

Room: Regis 

Simpack is a general purpose Multibody Simulation (MBS) 

software product used for the dynamic analysis of any 

mechanical or mechatronic system. It enables engineers to 

generate and solve virtual 3D models in order to predict and 

visualize motion, coupling forces and stresses. This course 

will focus on providing an introduction to the technology in 

Simpack and educating existing Abaqus and Simpack users as 

to possible applications in their company. Attendees will also 

discover how Simpack interoperates with Abaqus. This course 

is focused on the technology in, and usage of, Simpack for 

the traditional SIMULIA user. Attendees will come away from 

the course with a firm understanding of the technology and 

applicability of Simpack and the value of Multibody Simulation 

as an application area together with FEA. 

Hands-on Training Courses 

These two Hands-on Training Courses offer attendees a unique 

opportunity to gain hands-on training while attending Science 

in the Age of Experience. Attendees will do workshop problems 

on their own Windows laptops overseen by experienced 

instructors from SIMULIA. (Attendees received instructions 

before the event to pre-load the Abaqus Student Edition on 

their laptops before coming to the conference. This edition will 

be theirs to keep after the conference.) 

Hands-on with Submodeling: Techniques for 

Increasing Simulation Accuracy 

Room: Salon K 

The ever increasing size and complexity of modern designs 

pose challenges to today’s analyst as conventional modeling 

approaches are ill-suited to simulate and validate them 

effectively. Submodeling offers an attractive alternative 

because it allows the analyst to run a series of simulations, 

zooming in on regions of interest in a global model, to extract 

more accurate results. This course aims to provide users with 

an understanding of the submodeling method and illustrate its 

usage through examples. The course covers the following topics: 

When submodeling can be useful, how to properly construct a 

coarse, global analysis that can "drive" the submodel analysis, 

how to design the mesh for the submodel analysis, when to 

use solid-to-solid, shell-to-shell and shell-to-solid submodeling, 

and submodeling in nonstructural problems. Although the 

course content is a subset of the standard Substructures and 

Submodeling with Abaqus course, attendees will receive the 

full set of lecture notes from the standard course. In addition, 

attendees will also receive a copy of Abaqus Student Edition. 

They will need to download and install Abaqus Student Edition 

on their personal laptops prior to the class in order to participate 

in the workshop exercises. 

42

SIMULIA TRAINING: THURSDAY, MAY 26 

Hands-on with Composites Simulation: Effective 

Modeling of Composite Materials with Abaqus 

Room: Salon H 

Composite materials are used in many industries, across a 

range of design applications, because of their high stiffness-toweight 

ratios and the ability to tailor their response as needed. 

This course aims to introduce users to the capabilities in Abaqus 

enabling effective modeling of composite materials. The course 

covers the following topics: Using detailed modeling of the 

microscopic behavior to determine the behavior of composite 

materials, defining anisotropic elasticity with Hookean models 

for combining the fiber-matrix response, defining composite 

layups using Abaqus/CAE, achieving the correct material 

orientation of the layers of composite shells and solid elements, 

as well as recent enhancements in the technical capability. 

Although the course content is a subset of the standard Analysis 

of Composite Materials with Abaqus course, attendees will 

receive the full set of lecture notes from the standard course. In 

addition, attendees will also receive a copy of Abaqus Student 

Edition. They will need to download and install Abaqus Student 

Edition on their personal laptops prior to the class in order to 

participate in the workshop exercises. 

Application Seminars 

Introduction to 3DEXPERIENCE Simulation 

for Abaqus Users 

Room: Salon I 

This course will provide the existing Abaqus user with an 

in-depth introduction to the concepts, usage, functionality, 

and capabilities of the 3DEXPERIENCE Simulation portfolio of 

apps and Roles. The course will show new capabilities in the 

3DEXPERIENCE Simulation portfolio for model assembly, batch 

meshing, visualization, and model re-use. Focus will be on 

conceptual level understanding with some detailed workflows 

to highlight the concepts. The attendee will come away from 

the course with a better understanding of the scope, content, 

usability, and functional content of 3DEXPERIENCE Simulation. 

Encounter the Power of the SIMULIA Portfolio: 

fe-safe, Tosca, Isight, and Abaqus in Action 

Room: Salon J 

Through Extended Packaging, all Abaqus users now have access 

to more technology than ever. This course will illustrate the 

practical benefits and usage of fe-safe, Tosca, and Isight along 

with Abaqus to extend the attendee’s simulation skillset to 

include durability analysis and optimization techniques. The 

course will focus on industrial applications combining Abaqus, 

Tosca, fe-safe, and Isight to increase the value added through 

simulation and will provide compact introductions to: structural 

optimization with Tosca using Abaqus/CAE, fatigue analysis with 

fe-safe, and process automation and parametric optimization 

with Isight. The course will expand attendee’s simulation 

knowledge by teaching how to simulate fatigue behavior and 

likely failure modes. Participants will also learn how to apply 

topology, shape, and parametric optimization to boost quality, 

durability and performance while reducing development time. 

NOTES 

43

SCIENCE IN THE AGE OF EXPERIENCE ABSTRACTS 

This program contains the abstracts of the papers submitted for presentation at Science in the Age of Experience held 

in Boston, MA, May 23-25, 2016. We are grateful to the authors for their efforts in preparing the papers that make up 

these proceedings. 

Using This Guide 

Here are the tracks presented at Science in the Age of 

Experience (see agenda, pages 8-27). In the following section, 

the abstracts are listed in alphabetical order by company name, 

then author last name. 


Eaton Corporation p.70 (Tue. 8:30, Regis) 

Combustion Research and Flow Technology, Inc. p.65 (Tue. 

9:15, Regis) 

Naval Undersea Warfare Center p.80 (Tue. 10:30, Regis) 

Roketsan Missile Ind. p.86 (Tue. 11:15, Regis) 

Aventec Inc. p.49 (Tue. 2:45, Regis) 

TEN TECH LLC p.89 (Wed. 9:15, Regis) 

COLLABORATIVE SCIENCES IN 


Pfizer p.81 (Tue. 2:00, Tue. 2:45, Wed. 3:45, Clarendon) 

Pfizer p.81 (Tue. 2:45, Clarendon) 

GSK p.74 (Tue. 4:00, Clarendon) 

LabAnswer p.77 (Tue. 4:45, Clarendon) 

Eisai p.70 (Wed. 8:30, Clarendon) 

Takeda p.89 (Wed. 9:15, Clarendon) 

BIOVIA, van Daelen, T. p.61 (Wed. 10:30, Dartmouth & 

Clarendon) 

Gilead p.73 (Wed. 1:00, Clarendon) 

discngine p.69 (Wed. 1 :45, Clarendon) 

BIOVIA, Bost, F. p.53 (Wed. 1:45, Clarendon) 

Pfizer p.82 (Wed. 3:45, Clarendon) 


ATA Engineering p.49 (Tue. 8:30, Salon I) 

DuPont Performance Materials p.69 (Tue. 9:15, Salon I) 

Convergent Manufacturing Technologies, Inc p.66 (Tue. 10:30, 

Salon I) 

University of Massachusetts Lowell p.93 (Tue. 11:15, Salon I) 

DuPont de Nemours p.69 (Tue. 2:45, Salon J) 

BIOVIA, Doyle, M. p.54 (Wed. 9:15, Salon I) 

University of Massachusetts Lowell p.93 (Wed. 2:30, Salon I) 

National University of Singapore p.79 (Wed. 3:45, Salon I) 

CONSUMER PACKAGED GOODS & CONSUMER 

GOODS & RETAIL 

Veryst Engineering p.95 (Tue. 8:30, Salon K) 

ASICS corporation p.48 (Tue. 9:15, Salon K) 

Plastic Technologies, Inc. p.82 (Tue. 10:30, Salon K) 

Illinois Institute of Technology p.76 (Tue. 11:15, Salon K) 

The Procter & Gamble Company p.89 (Tue. 2:45, Salon K) 

DASSAULT SYSTEMES 

EXALEAD p.71 (Tue. 8:30, Nantucket) 

3DEXPERIENCE p.47 (Tue. 9:15, Nantucket) 

SOLIDWORKS p.88 (Tue. 10:30, Nantucket) 

CATIA p.64 (Tue. 11:15, Nantucket) 

EXALEAD p.71 (Tue. 1:15, Nantucket) 

CATIA p.64 (Tue. 2:00, Nantucket) 

SOLIDWORKS p.87 (Tue. 2:45, Nantucket) 

ENOVIA p.71 (Tue. 4:00, Nantucket) 

EXALEAD p.71 (Wed. 8:30, Nantucket) 

SOLIDWORKS p.87 (Wed. 9:15, Nantucket) 

CATIA p.63 (Wed. 10:30, Nantucket) 

CATIA p.64 (Wed. 1:00, Nantucket) 

ENOVIA p.71 (Wed. 2:00, Nantucket) 

ENERGY, PROCESS & UTILITIES 

GE Power, p.74 (Wed. 2:30, Boston University) 

SIMULIA (Wed. 3:45, Boston University) 


SIMULIA (Wed. 9:15, Salon H) 

Quest Integrity Group p.84 (Wed. 2:30, Salon H) 

Saba Metallurgical and Plant Engineering Services, LLC p.86 

(Wed. 3:45, Salon H) 

HIGH TECH 

Bosch p.62 (Tue. 8:30, Boston University) 

DfR Solutions p.68 (Tue. 9:15, Boston University) 

Digital Product Simulation Inc. p.68 (Tue. 10:30, 

Boston University) 

44

Motorola Mobility LLC p.79 (Tue. 11:15, Boston University) 

SIMULIA, H. Surendranath (Tue. 2:45, Boston University) 

INDUSTRIAL EQUIPMENT 

CISDI Engineering Co., Ltd. p.64 (Tue. 8:30, Salon H) 

Ariens p.48 (Tue. 9:15, Salon H) 

United Arab Emirates University p.92 (Tue. 10:30, Salon H) 

H.C. Starck p.74 (Tue. 11:15, Salon H) 

Colorado School of Mines p.65 (Tue. 2:45, Salon H) 


Intel p.76 (Tue. 1:00, Simmons) 

Cradle North America Inc p.66 (Tue. 1:00, Tufts) 

TotalCAE p.91 (Tue. 1:00, Regis) 

CST p.67 (Tue. 1:00, Wellesley) 

BETA CAE Systems S.A p.51 (Tue. 1:00, Harvard) 

Cray p.67 (Tue. 1:00, Boston University) 

Stratasys p.88 (Tue. 1:30, Simmons) 

Quest Integrity Group p.84 (Tue. 1:30, Tufts) 

SGI p.87 (Tue. 1:30, Regis) 

Simpleware p.87 (Tue. 1:30, Boston University) 

Wolf Star Technologies p.96 (Tue. 1:30, Harvard) 

Tranvalor S.A. p.91 (Wed. 10:30, Boston University) 

Endurica p.70 (Wed. 10:30, Harvard) 

Thornton Tomasetti Weidlinger Applied Science p.90 (Wed. 

10:30, Salon H) 

DfR Solutions p.68 (Wed. 10:30, Regis) 

Psylotech p.84 (Wed. 10:30, Tufts) 

Granta Design p.73 (Wed. 10:30, Simmons) 

Capvidia p.63 (Wed. 10:30, Salon K) 

LIFE SCIENCES 

Becton Dickinson p.51 (Tue. 8:30, Harvard) 

Purdue University p.84 (Tue. 9:15, Harvard) 

BIOMODEX p.52 (Tue. 10:30, Harvard) 

Capvidia p.63 (Tue. 11:15, Harvard) 

Saint Louis University p.86 (Tue. 2:45, Harvard) 



BIOVIA, Luszakoski K. p.57 (Tue. 2:00, Exeter) 

BIOVIA, Fiegland L. p.55 (Tue. 2:45, Exeter; Wed. 8:30, Exeter; 

Wed. 1:00, Exeter) 

Baxalta p.51 (Tue. 4:00, Exeter) 

BIOVIA, Arnaiz H and Unruh K. p.53 (Tue. 4:45, Exeter) 

Biogen p.52 (Wed. 10:30, Exeter) 

BIOVIA, Ruth, J. and Unruh K. p.58 (Wed. 11:15, Exeter) 

BIOVIA, Forman, K. p.55 (Wed. 1:45, Exeter) 

BIOVIA, Spence, A. p.59 (Wed. 2:30, Exeter) 

MATERIALS 

Mechanical Design & Analysis Corporation p.78 (8:30 Tue., 

Salon J) 

Camso p.62 (Tue. 9:15, Salon J) 

Cornell University p.66 (Tue. 10:30, Salon J) 

DuPont de Nemours p.69 (Tue. 11:15, Salon J) 

Veryst Engineering p.95 (Tue. 2:45, Salon J) 

Unilife Medical Solutions p.92 (Wed. 9:15, Salon J) 

The Procter & Gamble Company p.83 (Wed. 2:30, Salon J) 

SIMULIA (Wed. 3:45, Salon J) 


University of Zagreb p.94 (Wed. 2:30, Regis) 

Missouri University of Science and Tech p.79 (Wed. 3:45, Regis) 

Mechanical Design and Analysis Corporation p.77 (Wed. 2:30, 

Salon K) 

Grupo Smarttech, p.75 (Wed. 3:45, Salon K) 


Baker Hughes, van der Zee, p.51 (Tue. 8:30, Wellesley) 

Paradigm Geophysical p.80 (Tue. 9:15, Wellesley) 

The University of Texas at Austin p.90 (Tue. 10:30, Wellesley) 

ExxonMobil p.71 (Tue. 11:15, Wellesley) 

Eni S.p.A. p.71 (Tue. 2:45, Wellesley) 

Tenaris Dalmine SpA p.89 (Wed. 9:15, Boston University) 

Halliburton, Shen, p.74 (Wed. 9:15, Wellesley) 

Halliburton, Zhong, p.75 (Wed. 9:15, Tufts) 

Baker Hughes, Hoeink, p.50 (Wed. 2:30, Tufts) 

C-FER Technologies p.65 (Wed. 2:30, Wellesley) 

Baker Hughes, Zhu, p.50 (Wed. 3:45, Wellesley) 

Lse Design Inc, p.77 (Wed. 3:45, Tufts) 


Principia p.83 (Wed. 9:15, Simmons) 

Optimal Device p.80 (Wed. 2:30, Simmons) 

UberCloud p.92 (Wed. 3:45, Simmons) 

45

PREDICTIVE MODELING AND COLLABORATIVE 

SCIENCE RESEARCH 

Pfizer p.81 (Tue. 2:00, Fairfield) 

BIOVIA, Dejoannis, p.54 (Tue. 2:45, Fairfield) 

PQ Corp. p.83 (Tue. 4:00, Fairfield) 

Durham University p.70 (Tue. 4:45, Fairfield) 

BIOVIA, Todd, p.59 (Wed. 8:30, Fairfield) 

Solvay p.88 (Wed. 9:15, Fairfield) 

BIOVIA, Reynolds, p.58 (Wed. 10:30, Fairfield) 

Stevens Institute of Technology p.88 (Wed. 11:15, Fairfield) 


Harvard University p.75 (Wed. 1:45, Fairfield) 


PREDICTIVE SCIENCES IN 


BIOVIA, Stevens, A. p.59 (Tue. 2:00, Dartmouth & Wed. 1:00, 

Dartmouth) 

BIOVIA, Froloff, N. p.55 (Tue. 2:45, Dartmouth) 

BIOVIA, Honeycutt, D. p.56 (Tues. 4:00, Dartmouth) 

Pfizer p.81 (Tue. 4:45, Dartmouth) 

BIOVIA, Sage, M. p.58 (Wed. 8:30, Dartmouth) 

Collaborations in Chemistry p.65 (Wed. 9:15, Dartmouth) 

BIOVIA, van Daelen, T. p.61 (Wed. 10:30, Dartmouth & 

Clarendon) 

Abbvie p.47 (Wed. 1 :45, Dartmouth) 

BIOVIA, Ecccles, N. p.54 (Wed. 2:30, Dartmouth) 

BIOVIA, Froloff, N. p.55 (Wed. 3:45, Dartmouth) 


BIOVIA, O'Leary, K. p.57 (Tue. 2:00, Suffolk) 

BIOVIA, O'Brien, D. p.57 (Tue. 2:45, Suffolk) 

Vertex Pharmaceuticals p.94 (Tue. 4:00, Suffolk) 

BIOVIA, Winslow, S. p.61 (Tue. 4:45, Suffolk) 

Biogen p.52 (Wed. 8:30, Suffolk) 

BIOVIA, Vasowalla, M. p.61 (Wed. 9:15, Suffolk) 

Biogen p.52 (Wed. 10:30, Suffolk) 

BIOVIA, Frost, p.56 (Wed. 11:15, Suffolk) 


BIOVIA, Vasowalla, M. p.61 (Wed. 1:45, Suffok) 



BIOVIA, O'Leary, K. p.57 (Wed. 3:45, Suffolk) 

TRANSPORTATION & MOBILITY 

BMW AG p.62 (Tue. 8:30, Simmons) 

Hyundai Motor Company p.75 (Tue. 9:15, Simmons) 

Technische Universität München p.89 (Tue. 10:30, Simmons) 

Mercedes Benz Research and Development India p.78 

(Tue. 11:15, Simmons) 

Illinois Institute of Technology p.76 (Tue. 2:45, Simmons) 

TRANSPORTATION & MOBILITY II 

FCA Engineering India Pvt Ltd p.72 (Tue. 8:30, Tufts) 

General Motors p.73 (Tue. 9:15, Tufts) 

Dana Holding Corporation p.67 (Tue. 10:30, Tufts) 

Colorado School of Mines p.65 (Tue. 11:15, Tufts) 

Volpe National Transportation Systems Center p.95 (Tue. 2:45, 

Tufts) 


BIOVIA, Tetreault p.59 (Tue. 2:00, Arlington & Berkeley) 

Astrix p.48 (Tue. 2:45, Arlington & Berkeley) 

Amgen p.47 (Tue. 4:00, Arlington & Berkeley) 

BIOVIA Curran, p.53 (Tue. 4:45, Arlington) 

Bristol-Myers Squibb p.61 (Wed. 8:30, Arlington & Berkeley) 

Amgen p.47 (Wed. 9:15, Arlington & Berkeley) 

Pfizer Berliner, p.81 (Wed. 10:30, Arlington) 

Amgen Shapiro, p.47 (Wed. 11:15, Arlington) 

BIOVIA Doyle p.53 (Wed. 1:00, Arlington) 

RJ Reynolds p.85 (Wed. 1:45, Arlington) 

Bristol-Myers Squibb p.62 (Wed. 2:30, Arlington) 

BIOVIA, Jansen, p.57 (Wed. 3:45, Arlington & Berkeley) 


BIOVIA Tetreault p.59 (Tue. 2:00, Arlington & Berkeley) 

Astrix p.48 (Tue. 2:45, Arlington & Berkeley) 

Amgen p.47 (Tue. 4:00, Arlington & Berkeley) 

BIOVIA, DeAlmeida p.53 (Tue. 4:45, Berkeley) 

Bristol-Myers Squibb p.62 (Wed. 8:30, Arlington & Berkeley) 

Amgen p.47 (Wed. 9:15, Arlington & Berkeley) 

BIOVIA, Tetreault p.59 (Wed. 10:30, Berkeley) 

Gilead Sciences p.73 (Wed. 11:15, Berkeley) 

PPD p.82 (Wed. 1:00, Berkeley) 

BIOVIA, Sefried, p.58 (Wed. 1:45, Berkeley) 

Perrigo p.81 (Wed. 2:30, Berkeley) 

BIOVIA, Jansen, p.57 (Wed. 3:45, Arlington & Berkeley) 

46

3DEXPERIENCE – the Platform for Sustainable Innovation and Growth 

3DEXPERIENCE 

To secure sustainable growth in the experience economy, companies and innovators must do (a lot) more with 

(a lot) less, create new income streams, and secure mergers, acquisitions and partnerships. Dassault Systèmes 

3DEXPERIENCE platform is the business framework for driving sustainable growth–for the individual and the enterprise. 

A 

Predicting Changes in Antibody-antigen Binding Affinities 

Abbvie 

Sarah Sirin 

Antibodies (Abs) are a crucial component of the immune system and are often used as diagnostic and therapeutic 

agents. The need for high-affinity and high-specificity antibodies in research and medicine is driving the development 

of computational tools for accelerating antibody design and discovery. We report a diverse set of antibody binding 

data with accompanying structures that can be used to evaluate methods for modeling antibody interactions. Our 

Antibody-Bind (AB-Bind) database includes 1101 mutants with experimentally determined changes in binding 

free energies (∆∆G) across 32 complexes. The database, AB-Bind, was used to benchmark computational scoring 

potentials for their ability to predict observed changes in binding free energies. Although there was a clear signal 

in tests discriminating mutations that improved/reduced binding, the prediction performance of all methods was 

modest, indicating a continued need to improve computational approaches for binding affinity predictions. 

Brand: BIOVIA 

Applying Semantic Web Technologies to Instrument Integration with ONELab Foundation 

Amgen 

Dave Kostin, Don Rolph 

Installing hundreds of new laboratory instruments each year is requires a significant commitment of resources. To address this, 

Amgen has partnered with BIOVIA to leverage Semantic Web technologies and Allotrope Foundation standards to develop and deploy 

nearly ‘plug-and-play’ capabilities to connect new instruments to the ONELab application. 

Technologies: BIOVIA’s ONELab Foundation, Allotrope’s ADF Data Packet, Web Ontology Language (OWL), SPARQL 

queries, and Data Federation 

Holistic Lab Program Management: How to Deliver Transformational Informatics Portfolio 

Amgen 

Huck Shapiro, Ken Raiche (BIOVIA) 

In the world of cloud computing, mobile integration and big data, there is an expectation that complex project 

solutions can be delivered at a faster pace with greater levels of capabilities. Amgen's vision for increased productivity, 

reduced cycle time and improved compliance resulted in deploying the Holistic Lab solution, a single integrated 

platform across the global Process Development organization. 

This session will share how Amgen has successfully delivered rapid value realization 65% faster with 5 GMP 

validated releases of BIOVIA's integrated ONELab solution in 12 months using Agile Scrum. This model continuously 

incorporated the latest vendor software releases to leverage new functionality. 

Brand: BIOVIA 

Instrument Integration: Bridging Parallel Efforts Using LES in Quality Control and Instrument Data 

Acquisition (IDA) in Development Labs 

Amgen 

Jay Stimpson, Janford Leivera, Matt Potter-Racine 

Abstract not available at time of printing. 

Brand: BIOVIA 

47

Analytical Frame Design for Commercial ZTR Mowers 

Ariens 

Aleysha Kobiske, Mathew Weglarz, Josh Wilson 

Computed simulation is a powerful tool that has the ability to predict the behavior and life of a structure. The 

difficulties in utilizing finite element software arise when determining how to implement the loads and boundary 

constraints into the model such that it mimics the real world. This paper will discuss how the engineers at The Ariens 

Company utilize Abaqus/CAE and fe-safe throughout the design process of a zero-turn mower. These two programs, 

in collaboration with Wolf Star Technologies True-Load software, are used to determine the life and actual loads acting 

on one of the current lawn-mower frames. Once these loads are known, the capabilities of Abaqus/CAE allow for the 

model of the current frame design to be easily and confidently constructed. The analysis of that frame is then used 

to drive the design of the new frame which is then analyzed with the loads from True-Load in Abaqus/CAE. When 

the correct loading is applied, the results are meaningful and representative of how the frame will respond in the real 

world. The outcome is that a better product is designed due to a deeper understanding of how the structure behaves. 

Brand & Keywords: SIMULIA, Durability & Fatigue 

Three-dimensional Numerical Foot Model for Running Shoe Designing 

ASICS corporation 

Tsuyoshi Nishiwaki, Mai Nonogawa 

In the designing process of running shoes, some requirement functions such as stability, cushioning and comfort 

have to be considered. Many researchers have pointed out the importance of shoe stability, which means control of 

excessive foot and ankle joint motions or pronation, due to long term running with poor stability shoes causing various 

lower extremity injuries. Therefore, establishment of a prediction model of the requirement functions based on the 

computer simulation must be a strong means. Moreover, it can lead to a sustainable design without prototyping. In 

this study, footwear stability prediction method is proposed by using Abaqus. The numerical foot model, constructed 

by stacking computed tomography images, composes of 24 bones, cartilage, soft tissue, the plantar fascia and six 

ligaments. Ankle joint force and torque during the contact phase in running are used as loading conditions for the 

analysis. These components are obtained from the inversed dynamics analysis. In order to check the validity of the 

numerical model, planter pressure distributions and calcaneus eversion angles on the polymer foam sheets with three 

kinds of hardness were calculated and compared with the practical running motion analytical results. These values are 

corresponding to indices of shoe comfort and stability, respectively. From these results, the numerical model could 

predict not only the plantar pressure distribution, but also calcaneus eversion angle during the contact phase. This 

indicates that the proposed model is a powerful tool in the practical running shoe designing. 

Brand & Keywords: SIMULIA, Biological Modeling 


AstraZeneca 

Daniel Hunnyman 

Independent of the systems in place there will be a time to move to the next generation solution. When this time 

comes you have many questions to answer regarding the master data and operational data contained in the existing 

solution. Beyond ensuring data continuity is maintained, how to assess what has worked well, what needs improving, 

and what should be retired? In this session we will review the topology that Astra Zeneca has in place for the quality 

control labs worldwide and discuss the challenges that they face with the implementation of the Next generation 

ONE Quality Lab solution. BIOVIA will present the vision and strategy for system upgrade and migration and report 

out on our progress to date. 

Brand: BIOVIA 

Unifying the Right Tools, Technology and Talent for Laboratory Workflow Optimization 

Astrix 

Robert Walla 

Significant changes have occurred in the last few years in life sciences research, including the move to a balanced 

portfolio between biologics and small molecules, coupled with an increase in collaborative research across multiple 

companies, CROs, and academic institutions. At the same time significant changes have been occurring in the 

technology landscape with the increased importance of cloud computing, mobility, social collaboration and the 

application of big data analytics. Successful implementation of a scientific informatics strategy requires deep domain 

48

expertise in the systems and the subject matter. This session will focus on case studies in which scientists in research, 

development and quality labs around the world have utilized informatics strategies to increase productivity and make 

meaningful use of their data for better decision support. 

Brand: BIOVIA 

Analysis Tools for Accelerated Development of Composite Materials 

ATA Engineering 

Jonathan Buck and David Najera 

Composite materials continue to rapidly improve in terms of structural performance. These materials offer the promise 

of significant weight reduction in many products particularly aerospace structures, where weight minimization is 

critical to both cost and overall performance. Despite this potential, however, several challenges prevent composite 

materials from being used as widely and pervasively as traditional materials. In particular, preliminary design concept 

evaluation of a structure with a novel material is difficult without a lengthy, expensive test program to provide the 

requisite material properties, but firms are justifiably reluctant to invest this time and money without confidence 

that the material under consideration merits such expense. Additionally, the stochastic nature of most composite 

materials means that a large number of samples may need to be tested and conservative knockdown factors be used 

in developing strength allowables. A unified set of analysis tools have been developed to address these challenges 

within two material architectures in mind, fiber-reinforced laminates and woven-fiber composites. Through the use of 

this tool, the tremendous savings in time and cost can be realized in developing and utilizing new composite material 

systems. Example applications will be shown to predict the strength of a particular material system. 

Brand & Keywords: SIMULIA, Composites, Material Modeling, Process Automation 

Applicability of Modal Dynamic Method in Seismic and Aircraft Crash Analyses of NPP Structures 

Atomenergoproekt 

Vlaldimir Korotkov, Andrey Ivanov 

This work is considered to overview the applicability of modal dynamic method in seismic and aircraft crash analysis 

of NPP structures. In the work, soil-structure interaction is taken into account, the problem of 20%-limiting of 

modal composite damping is researched, and results of different methods (Direct integration method, modal method, 

and upgraded modal method, when projected damping matrix is fully populated) are compared on the test model 

and on the real structure model. A simple test was solved theoretically in Abaqus with global damping matrices 

acquired by modal and direct integration methods compared. It is worth noting that both methods are approved for 

use in dynamic analysis of NPP structures by ASCE 4-98, but in most cases direct integration method gives more 

conservative results. 

Brand & Keywords: SIMULIA, Contact & Impact Mechanics, Dynamics & Shock 

Weight Optimization of a Landing Gear Steering Collar using Tosca in Abaqus 

Aventec Inc. 

Syed Noman Husainie, Hector H. Mireles and Aqib Qureshi 

The adoption of topology optimization as a tool in the design cycle of a landing gear was tested using Tosca in 

Abaqus. The optimization process was carried out in collaboration with one of the leading landing gear manufacturers. 

The manufacturer is already a user of CATIA and Abaqus and was interested to see the capabilities of Tosca. To test 

Tosca’s capabilities, a landing gear steering collar which was already in production and had previously gone through 

several phases of design iterations was used as the sample component. The steering collar weighed 35.155 lb before 

the optimization and there was little room for further material reduction largely due to multiple contact regions 

and multiple loading conditions. The manufacturer had chosen the steering collar as a test to see the strengths of 

Tosca as far as contact nonlinearities and multistep analysis are concerned. The analysis included multiple loading 

conditions such as oversteer, maximum spin up, and fatigue. Various manufacturing and geometrical conditions were 

also taken into consideration. Using a combination of CATIA, Abaqus, and Tosca, an optimized steering collar design 

was achieved with an approximately 19% reduction in mass when compared to the original design of the steer collar. 

The final mass of the redesigned steer collar was 28.521 lb. The results were well appreciated by the design team of 

the landing gear and the team is now under consultation with senior management over the adoption of Tosca as a 

necessary tool in their design cycle. 

Brand & Keywords: SIMULIA, Design Optimization, Optimization 

49

B 

Flow Induced Vibration Modeling by using CFD/FEA 

Baker Hughes 

Bin Zhu 

The modeling of flow induced vibration is of great importance in understanding the structure-fluid interactions, 

maintaining the safety of the equipment, as well as promoting productivity. The background of current work is about 

an x-annular flow valve oil completion tool (X-AFV) with high gas flow passing through the valve, causing pressure 

oscillation due to flow separation and high turbulence energy. The objective is to assess the vibration level in order 

to protect the tool from damage. The first step was to perform CFD simulation by using Fluent. The valve port region 

was identified as the primary vibration source. CFD was only conducted on this part of the tool. Turbulent transient 

flow was modelled with Detached Eddy Simulation (DES) turbulence model. The FFT was performed to yield PSD of 

pressure fluctuations at high turbulence region. The next step of the work was to extract natural frequencies of the 

tool by using Abaqus on a simplified geometry. The PSD of pressure fluctuations, representing the excitation force, 

was compared to the natural frequencies of the tool. The last step was to utilize Random Vibration Analysis to obtain 

the PSD and root mean square of stresses to assess the random vibration effect, by using PSD of excitation pressure 

obtained from CFD prediction. The results were discussed. 

Brand & Keywords: SIMULIA, Material Modeling 

Mechanisms-Based Fracture Model For Geological Materials 

Baker Hughes 

Tobias Hoeink, Alek Zubelewicz 

Over the past decade, hydraulic fracturing has become an industry-changing technology that enables commercial 

production of hydrocarbons from previously non-productive low-permeability shale formations. R&D efforts focus 

on the development of economically efficient production protocols, where the selection of engineering solutions is 

guided by numerical simulations. Typically, the simulations are based on phenomenological fracture models that are 

adapted for the prediction of fluid-driven fracture processes at depth. These models rely on a long-term trial-and-error 

approach and offer reliable material response at conditions that have previously been experimentally investigated. 

For this reason, an extrapolation of such phenomenological models into untested regimes is not always successful. 

We break with the tradition of using phenomenology and, instead, construct a mechanisms-based fracture model 

for geological materials. Our modified Mohr-Coulomb fracture model is developed in the framework of tensor 

representation theory, which allows for a direct translation of fracture mechanisms and the observed inelastic 

deformation into a mathematically precise description. In our description, plastic deformation is rate dependent 

and dilatation is determined over a three-dimensional topography of the slip plane. The contribution of asperity 

degradation is also included. The model monitors crack orientations and, in this manner, adds to the fracture-induced 

anisotropy. Fracture strength is stochastic. We also introduce an effective stress that accounts for the hydraulic 

pressure deposited onto crack surfaces. Friction-induced damage and tensile fractures are the sources of an enhanced 

hydraulic permeability. Our permeability model is also stochastic, and it describes the formation of flow-channels 

due to the coalescence of micro-cracks in tension and shear. To illustrate the approach we choose material properties 

applicable to shale. We test the material model using uniaxial tension, compression and triaxial stress conditions on 

a single element before advancing to relevant subsurface model geometries. 

Our current study focuses on the simulation of fluid-driven fracture near a pressurized wellbore. The results 

demonstrate that fracture growth is often dynamic; inertial forces play a significant role. Because fracture strength 

is stochastic, the process often becomes dynamically unstable and produces bursts of kinetic energy that propagate 

away from localized regions of low fracture strength. As expected, friction-induced damages are responsible for the 

formation of micro-channels, which in turn are connected to the channels formed by the dominant tensile cracks. 

The model is implemented to Abaqus/Explicit as a material user subroutine. We calibrate the properties of a shale-like 

material and study the material responses under axial loading and selected subsurface conditions. 

Brand & Keywords: SIMULIA, Geomechanics (Oil & Gas), Material Modeling 

50

Coupling Reservoir Simulation and Geomechanical Modeling to Improve the Analysis 

of Hydrocarbon Reservoir Behavior 

Baker Hughes 

Wouter van der Zee, Trevor Stoddard, Deric Stone, Maarten Voorn 

In oil and gas field development, reservoir simulation is applied to accurately predict and analyze fluid flow during 

production. The results of reservoir simulation can be used as input for 4D geomechanical modeling to obtain the 

earth’s mechanical response such as reservoir compaction. However, in such a one-way coupling scheme, the 

geomechanical response of a system has no influence on the reservoir simulation, whereas in real-life, the mechanical 

and flow behavior are not independent. In two-way coupling, this dependency is taken into account. Two-way 

coupling is performed using the JewelEarth platform, connecting CMG’s IMEX Blackoil simulator and Abaqus for 

the geomechanical simulations. In the coupling process, the available pore volume and pore pressures are updated 

in the reservoir at each time step, while not changing the fluid accumulations (masses). Optionally, the reservoir 

simulator’s internal geomechanical estimate is continuously enhanced with a pseudo-compressibility using the 

modelled geomechanical response. The differences between one-way and two-way coupling implementations are 

very clear when applied on a benchmark model used by numerous authors. However, the benchmark model was 

designed to show the largest possible effect of two-way coupling. When changing only a few parameters to more 

realistic properties, the one-way and two-way coupled results are much more alike. This shows that, while two-way 

coupling may be advantageous in some extreme cases, it may not be worth the extra simulation time and effort for 

each hydrocarbon reservoir. 

Brand & Keywords: SIMULIA, Geomechanics (Oil & Gas), Multiphysics & Co-simulation 

Discoverant OSIsoft PI AF/EF Interface Implementation 

Baxalta 

Steve Kane 

In this presentation we will review the requirements, design, development and implementation of the Discoverant 

OSIsoft PI AF/EF interface. This includes an introduction to PI AF/EF concepts, terminology and examples from an 

actual implementation. The presentation will finish with recommendations for bringing continuous and discrete data 

to your Discoverant hierarchy via this interface. 

Brand: BIOVIA 

Thermal - Fluid Co-Simulation of DNA Sequencing Thermocycler 

Becton Dickinson 

Mitchell Gatesman 

Sequencing and amplification of DNA involves a precisely controlled thermal incubation cycle. Upscaling of traditional 

thermocyclers can be problematic due to non-uniformities induced across large incubation plates. Multiple chip 

profiles are studied to compare edge effects and promote uniform thermal histories across the incubation plate. 

Thermal performance is evaluated via steady-state heating within Abaqus/Standard. Transient cooling is modeled via 

Abaqus co-simulation by coupling thermal and fluid models. 

Brand & Keywords: SIMULIA, Design Optimization, Multiphysics & Co-simulation 

Simulation Data Management in Pre and Post Processing 

BETA CAE Systems S.A 

Dimitrios Katramados 

The ever growing demand for simulation modeling, driven by product design cycle duration and cost restrictions, 

has elevated the complexity and importance of simulation data management. The number of modeling simulations 

increases, while simulations also have to be performed with a faster. These pose new challenges for the quality 

assurance, productivity, and collaboration of designing teams who need to study numerous design changes and 

associate them with the corresponding results' changes quickly to evaluate new designs. To meet these requirements, 

existing solutions usually involve 3rd party software dedicated to the management of data interchanged between 

the modeling pre-processor, solver, and results’ post-processing software. However, in most cases, these solutions 

favour only one of the aforementioned software. BETA CAE Systems S.A. has been active in the field of simulation 

and data management for ten years, constantly developing solutions that follow modern trends in this field. The 

51

latest tool is an evolution of ANSA DM, the discipline-independent pre-processor data management solution, which 

now also includes post-processing. This means that both ANSA (pre-processing) and now also µETA (post-processing) 

have inherent data management capabilities. While still a user friendly, file-based tree structured system, ANSA 

DM builds on the existing, part level support, introducing two additional levels: the Simulation model and the 

Simulation run. In practice, coupled with the automation of loadcasing and post-processing, ANSA DM streamlines 

the association of part version with the corresponding models and simulation runs, helping to create and use a library 

of pre-processing files, runs, key results and reports. Post-processing actions can be automated and initiated within 

a single user interface and the resulting files and report (curves, tables/spreadsheets, videos, images) are exported 

linked with the corresponding simulation runs and can be readily displayed through a viewer in either ANSA or µETA. 

Additionally, the overlay and comparison of results from different design variants and runs is also facilitated, based 

on the associations built intrinsically between them. As such, the tool also minimizes user intervention which can be 

tedious and error-prone. Run from a known software environment also means it is easier to adopt and implement by 

users of ANSA and µETA while, being a scalable solution, means that ANSA DM can be used from a single engineer 

up to multi-member teams. This presentation will demonstrate a process of using ANSA DM to setup a model process 

in ANSA, followed by running the Abaqus solver to produce results. The results of interest will then be processed by 

µETA, saved compressed in its native binary format. ANSA DM thus proves to be a valuable tool in consolidating the 

modeling process from model pre-processing through the post-processing of its results which can then be archived 

with reduced disk space-footprint. 

Brand & Keywords: SIMULIA, Pre-Processing, Post-Processing 

Integrating Systems in the Next Generation Manufacturing Paradigm 

Biogen 

Yvonne Ledford 

Biogen is taking the next step to integrate the next-generation of process automation into the process monitoring 

data management platform. The ability to integrate and aggregate data remains the top monitoring challenge as we 

move into the future of biologics manufacturing. This talk will provide an overview of current work at Biogen in the 

area of data platform adaptation for the next generation biologics manufacturing and control. 

Brand: BIOVIA 


Biogen 

Aaron Marsh 

Collaboration with third parties such as CROs, CMOs, and suppliers is necessary in a global economy. Organizations 

in Life Science have to comply with some of the strictest regulations in business and yet find ways to openly but 

securely collaborate with their business partners. Customers with DocCompliance find it necessary to share and 

receive documents from third parties. Learn about QUMAS iX, a cloud-based secure and compliant solution for sharing 

documents from DocCompliance. 

Brand: BIOVIA 

Business Intelligence with DocCompliance 

Biogen 

Jeanne Maciel 

ComplianceUnity is a powerful dashboard and reporting application that enables business users to ask business 

questions of the data behind DocCompliance – documents and workflows. This session will cover some best practices 

in configuring DocCompliance to enable rich reporting, example of dashboards, and a preview of the tools in building 

these dashboards and reports. 

Brand: BIOVIA 

BIOMODEX 3D Printed Surgical Simulators 

BIOMODEX 

Sidarth Radjou 

Preventable medical errors are the No.3 killer in the U.S. causing the deaths of over 400,000 people every year. 

Whereas companies in other sectors have embraced 3D technology and simulation to optimize and predict real-life 

52

ehavior, the medical industry has yet to fully take advantage of these advances relying more on cadavers, manikins 

and animals to advance the cause of healthcare. 

Biomodex is using advanced software and 3D printers to fabricate life-like organs that can be used for medical 

training and pre-operative preparation. Using data obtained through organ imaging via an MRI or scanner, Biomodex 

developed a process that helps automate the creation of a virtual 3D model of that organ, which can then be printed 

using a 3D printer. We are improving health care safety by enabling practitioners and medical students to acquire 

knowledge and experience without putting patients at risk. 

Brand: SIMULIA 

Pipeline Pilot 101 for Discoverant Users 

BIOVIA 

Heather Arnaiz and Karri Unruh 

BIOVIA Pipeline Pilot is proving to be a very powerful extension to BIOVIA Discoverant, and many Discoverant users 

can’t wait to use it like experts! Join us as we demystify this powerful new technology: in this session we will review 

the various elements of Pipeline Pilot, outline the configuration requirements for integrating Pipeline Pilot with 

Discoverant, and walk through creating a protocol with components from the Discoverant Collection. 

Brand: BIOVIA 

Cloud Solutions for Collaborative Sciences 

BIOVIA 

Fred Bost & Ton van Daelen 

Many forward-looking pharma and biotech firms are considering cloud technologies to improve R&D productivity, 

enhance collaboration (internally and externally with partners), reduce risk and lower costs. Protecting critical data is 

understandably a top priority in today’s increasingly collaborative and externalized cloud environment. The challenge 

is to secure the intellectual property of different parties, while enabling networked partners (and no one else) to 

access the data they need in a dynamic, fast-changing project landscape. It is important that the systems in place to 

safeguard data be certified to an accepted industry standard. This talk will address best-practice standards for ensuring 

that confidential and proprietary information remains secure, as pharmas move critical data and infrastructure to the 

cloud. 

Brand: BIOVIA 

Latest Enhancements, Integrations, and New Product Innovation for the Development Lab 

BIOVIA 

Dennis Curran 

BIOVIA’s goal in the laboratory informatics space is to provide users with one unified experience that streamlines lab 

processes and automates workflows. 

This presentation will provide an updated view of the Unified development lab focusing on the new capabilities for 

formulation development, process chemistry and analytical development. 

We will discuss our latest enhancements in experimental workflows and highlight our newest mobile recipe and 

method development and execution applications along with equipment and material management. 

Brand: BIOVIA 

BIOVIA Capabilities for the QC Lab Today and in The Future 

BIOVIA 

Daniel DeAlmeida 

Evolving from a paper-based system to an automated compliance system must initially mimic existing policies 

and procedures in order to minimize disruptions to current operations. BIOVIA quality solutions are easy-to-use 

environments for procedure execution, eliminating paper documentation, simplifying QA review/approval and 

enabling organizations to reduce quality costs, review, reporting cycles, rework loops, and increase capacity without 

adding head count. This session will discuss the current progress in the quality lab solution, an update of the 

upcoming release, and a glimpse of the future user experience of the applications. 

Brand: BIOVIA 

53

Simulating Crosslinking Using Materials Studio 

BIOVIA 

Jason DeJoannis 

Crosslinked materials such as epoxies are known for their unique properties such as high strength and resistance to 

temperature and chemical degradation. I will review how these materials can be generated using an iterative process 

of molecular dynamics, proximity search and new bond formation. Then I will show how crosslinking can be applied 

to interfaces. This is an area of growing interest, for instance in additive manufacturing, where precise control of 

a moving crosslinking front is desired. Then I will consider self-crosslinking systems. Traditional epoxies are linked 

together via an additive known as a hardener or curing agent. I will show how siloxanes can self-crosslink into porous 

networks. 

Brand: BIOVIA 

The Role of Unified Laboratory Management in the Seamless Qualification Solution Experience 

BIOVIA 

Michael Doyle 

One of the industries which Dassault Systems serves is the industrial equipment domain. Within this are the major 

global care tire producers. Michelin, Goodyear, Pirelli and Kuhmo. The development of tires consists of an iterative 

design cycle that spans simulation i.e. virtual tires and tread testing, lab testing, shop and track testing and usage 

and market testing. It is at this stage that complexes challenges such as reformulation of elastomers for lower 

rolling resistance, reduction of tendency for hydroplaning and traction performance are balanced and adjusted. The 

connection between the business needs and decisions, the nature and characteristics of materials, semi-finished 

goods and final products, needs to be managed and tested in a compliant and consistent manner. The BIOVIA unified 

laboiratory management supports such structured and consistent measurements across these domains and therefore 

leads to advanced models and data-driven decision making. 

Brand: BIOVIA 

Leveraging 2D and 3D/Structure-based Predictive Capabilities in Early Antibody Discovery 

BIOVIA 

Neil Ecccles 

The discovery of therapeutic antibodies is challenging. Applications such as BIOVIA Biotherapeutics Workbench 

(BTX) streamline discovery by enabling molecular biologists to rapidly visualise, annotate and understand antibody 

sequences and associated data. In this talk we will demonstrate how current 2D/sequence-based developability 

property capabilities in BTX can be augmented with other 2D/sequence-based properties such as germline prediction, 

and 3D/structure-based calculations from BIOVIA Discovery Studio. Thanks to a common underlying platform, bestin-class 

modelling algorithms from Discovery Studio can be made readily available to non-expect users early in 

discovery, enabling structure-based developability indices, aggregation scores and more to be used to guide decision 

making and help identify the best candidates. 

Brand: BIOVIA 

Leveraging Derived Parameters, Old and New 

BIOVIA 

Larry Fiegland 

When working within InVision, creating derived parameters can be a very useful skill to master. This presentation 

will demonstrate many techniques that can be used when creating derived parameters within Discoverant. Many 

new derived parameters features have been added in recent releases of BIOVIA Discoverant. This talk will focus on 

those new enhancements, including: Derived Dates, Derived Replicate parameters, and Derived Complex Regression 

Statistics 

Brand: BIOVIA 

54

Using BIOVIA Discoverant and QUMAS iX for Data Exchange and Collaboration Between Sponsors and 

Contract Manufacturing Organizations 

BIOVIA 


Contract Manufacturing Organizations (CMOs) are a vital part of today’s life sciences supply chain network. Quality 

and process data collected by contractor and sponsor organizations on paper and electronically is organized to serve 

many different needs of specialized users. This creates problems for the separate organizations when monitoring 

and also impedes process understanding and improvement when implementing initiatives like CPV in accordance 

with updated Guidelines for Quality Agreements. Discoverant and QUMAS iX can be integrated to promote secure 

data transparency between organizations in a validated environment without resorting to non-secure emails or errorprone, 

manually prepared spreadsheet and PDFs. 

Brand: BIOVIA 

Exploring the Synergies Between Discoverant and Pipeline Pilot – Templated Reporting 

BIOVIA 


Do you create weekly reports? Or maybe you are responsible for monthly or annual reports like APRs or PQRs. 

Do you spend most of your time gathering the data, analysis, or charts for these reports? This talk will show 

how you can use Pipeline Pilot and Discoverant to automatically generate templated reports. We will demonstrate 

how Discoverant can gather your data, perform the analysis, and provide the charts to Pipeline Pilot. We will also 

demonstrate how Pipeline Pilot can work with Discoverant to generate your templated report. 

Brand: BIOVIA 

Discoverant Implementation Best Practices 

BIOVIA 

Ken Forman 

When deploying new enterprise-capable informatics platforms, businesses strive to optimize their investment. While 

return on investment timelines are dependent upon both the product usage as well as amount of investment, several 

criteria are key to optimization: getting the system built right first time; getting the system up and running as quickly 

as possible to start the ROI clock; identifying the team’s roles and time commitments to increase implementation 

efficiencies; and ensuring users are set to succeed upon GoLive through maintenance. This presentation seeks to 

share Discoverant implementation best practices towards these key endeavors. 

Brand: BIOVIA 

3DEXPERIENCE and BioPLM 

BIOVIA 

Nicholas Froloff 

The purpose of the 5-year BioIntelligence Program was to develop an integrated software environment, coined 

“BioPLM”, for the discovery and development of new biological entities and products (from molecules to biological 

pathways, cells, organs, including regulatory aspects) for life sciences industries and research institutes, and in 

particular for pharmaceuticals, cosmetics, and agrochemicals. 

This resulted in BIOVIA applications which are now delivered on the 3DEXPERIENCE platform, as part of the “Designed 

to Cure” solution. The solution is designed to address the challenges and improve the efficiency and effectiveness 

of the drug discovery and development process. Through global scientific collaboration, scientific content federation 

and semantic search, and virtual modeling and predictive simulations, pharmaceutical researchers and their global 

ecosystem are using this solution today to quickly and more efficiently create new drugs and improve the success 

rate of delivering new, better targeted therapeutic solutions. 

The BIOVIA applications of this solution will be presented, and will be demonstrated on a particular use case in a 

project of drug discovery in oncology. 

Brand: BIOVIA 

55

Biological Safety Modeling 

BIOVIA 

Nicholas Froloff 

Unexpected adverse events are reasons of drug development failures that contribute to the attrition rate in 

pharmaceutical industry. A possible cause specifically associated to biotherapeutics (peptides/proteins) is 

immunogenicity: the ability of some biotherapeutics to trigger immune responses that conduct to the generation 

of antibodies specifically directed against the drug. This immune response can possibly reduce the treatment 

efficacy and provoke adverse effects. Predicting immunogenicity is proving difficult because of the complexity of the 

underlying biological processes. We present here the BIOVIA Biologics Safety Profiler, which is an application based 

on modeling and simulation approaches that can help the pharmaceutical R&D to prioritize promising drugs with 

respect to the immunogenicity risk. 

Brand: BIOVIA 

Paper to Electronic: Strategies and Solutions to Eliminate Paper from Manufacturing 

BIOVIA 

Chris Frost 

The pharmaceutical and biotech industries make extensive use of paper in their operations which introduces risks 

associated with a manual process, delays, human error, and loss. Learn about different ways and different areas where 

traditionally paper processes can be fully or partially automated with electronic documents, forms, and workflows. 

Peer discussion is encouraged to enable shared learning and exchange of ideas. 

Brand: BIOVIA 

ProcessCompliance: Overview of New Features and Enhancements 

BIOVIA 

Chris Frost 

ProcessCompliance is the electronic forms and workflow application that has been significantly enhanced for user 

experience and performance. Support for localization has been added to enable the application to be configured once 

for multiple languages and rendered in local language based on user preference. In addition, ProcessCompliance has 

received many new features and enhancements to old ones. Learn about some of the new features and how best to 

utilize them. 

Brand: BIOVIA 

Ask the Experts Panel: How Can License to Cure Applications Solve 

a Pressing Business Problem Today? 

BIOVIA 

Chris Frost and Murtuza Vasowalla, BIOVIA 

BIOVIA is focused on solving the most pressing challenges facing the pharmaceutical and biotech industry. In this 

session, experts from BIOVIA will be on hand to discuss areas where License to Cure applications can be applied. Bring 

your most pressing issues and challenges and leverage the knowledge and experience of our experts as well as your peers. 

Brand: BIOVIA 

Characterization and Cleaning of Scientific Data and Models 

BIOVIA 

Dana Honeycutt 

If we want to use data to answer questions and help make decisions, we need to be able to characterize and, if 

needed, clean our data sets. Sometimes we can learn what we need simply by looking at the data in the right 

way. Other times we need to build predictive models. We can then use these models not only to make predictions, 

but also to determine the most important variables in the data. This talk covers both new and old techniques in 

BIOVIA Pipeline Pilot for characterizing our data and the models we build from them, and for cleaning the data when 

required. 

Brand: BIOVIA 

56

Panel Discussion Session: How Can the Laboratory Bring Value to the Organization? 

BIOVIA 

Daniela Jansen 

Laboratory operations are involved into all stages of the product life cycle. Our panel will discuss how laboratory 

operations have been improved by implementing informatics solutions and how they are supporting their overall 

organizational strategies. We will also discuss which strategies have been most impactful addressing Operational 

Excellence, cost and risk reduction and time to market. 

Brand: BIOVIA 

Made Right and Compliant First Time: Business Benefits of Integrating the Manufacturing Process 

and Quality Enterprise 

BIOVIA 

Kate Lusczakoski 

Modern manufacturing networks include portions of processes carried out in captive or contract facilities across the 

globe. Recent business and regulatory initiatives bring into sharp focus the need to reduce process variability and 

improve compliance to shorten time to market, minimize patient risk, and increase profitability with reduced cost of 

quality, improved production economics, and reduced supply chain costs. This presentation illustrates how to realize 

benefits by implementing an enterprise-class process production operations and compliance system that provides 

self-service data access, aggregation, contextualization, analytics, reporting, and documentation management 

capabilities that span local and remote process development, 

Brand: BIOVIA 

3DEXPERIENCE and QUMAS Roadmap to the Future 

BIOVIA 

Donal O'Brien 

License to Cure Applications have had new features put in and have been enhanced. Integrations with ONE Lab 

applications (ELN, LIMS, LES, CISPro, etc.) and Made to Cure (Discoverant) are ongoing. In addition, the suite of 

supporting applications and integrations are being enhanced. Learn about the Roadmap for the future. 

Brand: BIOVIA 

Quality & Compliance Executive Keynote 

BIOVIA 

Kevin O'Leary 

Quality and Compliance cuts across industries and geographies. License to Cure applications (DocCompliance and 

ProcessCompliance) have been helping Life Science customers for over 20 years to meet their Quality Assurance 

requirements and to also support Regulatory Compliance. Kevin O'Leary, CEO of QUMAS and now Executive Sponsor 

of the Quality and Regulatory Compliance program across Dassault Systèmes, will discuss trends and the vision for 

the Life Sciences industry. 

Brand: BIOVIA 

Quality & Compliance Executive Q&A 

BIOVIA 

Kevin O'Leary 

Town Hall style Q&A session for customers to ask questions around the License to Cure Applications (DocCompliance 

and ProcessCompliance) and the future vision of Quality and Regulatory Compliance within Dassault Systèmes. 

Brand: BIOVIA 

57


BIOVIA 

Aidan Quilligan 

Collaboration with third parties such as CROs, CMOs, and suppliers is necessary in a global economy. Organizations 

in Life Sciences have to comply with some of the strictest regulations in business and yet find ways to openly 

but securely collaborate with their business partners. Customers with DocCompliance find it necessary to share 

and receive documents from third parties. Learn about QUMAS iX, a cloud-based secure and compliant solution for 

sharing documents from DocCompliance. 

Brand: BIOVIA 

A Virtual Materials Lab in Support of Additive Manufacturing 

BIOVIA 

Nick Reynolds 

In recent years, developments in materials science simulation have allowed researchers to virtually screening 

materials. These capabilities can be directly applied in supporting Additive Manufacturing initiatives. Multi-scaling 

modeling approaches are coming of age allowing one to begin to connect length scales for property prediction. 

Materials property prediction linked with experimental validation enables materials and product design for engineers. 

Examples in virtual polymer, mixture and alloy development relevant to Additive Manufacturing will be highlighted. 

The gaps that currently exist between simulation length scales needed to support Additive Manufacturing in metals, 

and potential technology solutions to address these will be discussed. 

Brand: BIOVIA 

Optimizing Performance for 24/7 Deployments 

BIOVIA 

Joseph Ruth and Karri Unruh 

With the daily demand for BIOVIA Discoverant analysis, alerting, and reports in global deployments, it is not 

uncommon for Analysis Group processing to occur around the clock. Join us for a discussion on different ways to 

deploy BIOVIA Discoverant for 24/7 processing with minimal impact to end-user interactive performance. Topics 

include new options available in the 2017 release and tuning Discoverant Windows services for maximum efficiency. 

Brand: BIOVIA 

Exposing Predictive Models in Insight 

BIOVIA 

Matt Sage 

See how BIOVIA Insight can be further extended to become a quantitative decision support tool with QSAR 

workbench. Assisting sciences to predictive key end points for novel therapeutics from machine learned models. 

Brand: BIOVIA 

New Adventures in Digital Continuity: Mastering Material Data to Drive Predictable Outcomes 

BIOVIA 

Anne Sefried 

Understanding material quality from discovery through manufacturing is vital to an organization's ability to 

improve product quality and speed innovation. CISPro Material Lifecycle Management is the only comprehensive 

material management system that supports the end-2-end development of a material. From purchased materials 

to proprietary goods – including new chemical entities, intermediates and finished products – CISPro MLM provides 

streamlined work processes to efficiently aggregate all material data. Join us as we focus on the importance of 

managing material data as a strategic asset. 

In this session we will discuss how a low cost of entry and flexible user experience enable structured data capture 

for all materials and guarantee the growth of material knowledge with every receipt. This model provides immediate 

operational excellence for material management while leveraging the power of material knowledge to make better 

decisions today and ensuring the long-term value of organizational data. 

Brand: BIOVIA 

58

Designing Hierarchies That Suit You Well 

BIOVIA 

Aaron Spence 

Just like the works of Coco Chanel, designing hierarchies takes compassion, creativity, and diligence. Well-designed 

hierarchies are easy to navigate, versatile, and enable users to quickly leverage data to meet their needs. However, 

overlooking critical design details and omitting analytical goals can result in headaches, wasted resources, and costly 

revisions. We will discuss tips, tricks, and common pitfalls to hierarchy design, so that you can be a fabulous fashion 

hierarchy designer as well. 

Brand: BIOVIA 

BIOVIA's Predictive Modeling Strategy 

BIOVIA 

Adrian Stevens 

The Life Sciences industries are being continually challenged to improve quality, while at the same time, reducing 

time and costs to market. Delivered effectively into decision-making process, predictive sciences can positively 

impact innovation and discovery processes. In this opening talk, we will discuss BIOVIA’s long term strategy to move 

predictive science from a hand-crafted artisan process into Enterprise services that can positively shape decisions in 

research analytics applications. 

Brand: BIOVIA 

Molecular Modeling: From Artisan to Automation 

BIOVIA 

Adrian Stevens 

Following on from the earlier introduction to our overall predictive modeling strategy, we will present our plans on 

developing modeling from an artisan-based paradigm to one that can be delivered via web-based services. We will 

discuss the challenges and practicalities of serving both the expert and the project team successfully. Showcasing a 

proof point that successfully ‘encodes the expert’, we will demonstrate current proofs-of-concept that we are actively 

developing. This will be an opportunity for customers to engage with us and help steer our strategic plans. 

Brand: BIOVIA 

The Lab in the Age of Experience 

BIOVIA 

Gene Tetreault 

Today it is a growing trend for science-driven companies to have a “Lab of the Future” vision or initiative underway. 

In this presentation we will blend these real world approaches with the digital vision, strategy and roadmap for the 

BIOVIA Unified Laboratory Management solutions. This session will also include the perspective of customers who 

are already including the BIOVIA solutions into their strategy. 

Brand: BIOVIA 


BIOVIA 

Gene Tetreault 

Independent of the systems in place there will be a time to move to the next generation solution. When this time 

comes you have many questions to answer regarding the master data and operational data contained in the existing 

solution. Beyond ensuring data continuity is maintained, how to assess what has worked well, what needs improving, 

and what should be retired? In this session we will review the topology that Astra Zeneca has in place for the quality 

control labs worldwide and discuss the challenges that they face with the implementation of the Next generation 

ONE Quality Lab solution. BIOVIA will present the vision and strategy for system upgrade and migration and report 

out on our progress to date. 

Brand: BIOVIA 

59

Current Developments in Discrete Materials Modeling 

BIOVIA 

Stephen Todd 

This presentation will give an overview of the recent enhancements in BIOVIA’s premier predictive materials modeling 

tool. BIOVIA Materials Studio 2016 has improved support for multiscale modeling workflows, extended coverage 

of materials and materials properties, and enhanced performance and usability. All new functionality in Materials 

Studio will be highlighted. This webinar will also cover exciting developments in the Materials Studio Collection 2016, 

showcasing new tight-binding components and prototypes for flexible visualization using WebGL. 

A sneak preview of the current development projects will be included showing highlights of what is expected in the 

end of year release. 

Brand: BIOVIA 

Multiscale Modeling: A Brief Review 

BIOVIA 

Stephen Todd 

Multiscale modeling is a ubiquitous phrase and has a number of interpretations. This presentation will give an 

overview of some recent applications, define methods that others have used to perform multiscale workflows, and 

share some thoughts on what a providing a multiscale solution can mean. 

Brand: BIOVIA 

Round Table Discussion Session: Where Next for Materials Modeling? 

BIOVIA 

Stephen Todd 

Join Product Manager Stephen Todd for a lively discussion on the next generation tools for predictive discrete 

materials modeling. 

Brand: BIOVIA 

Pipeline Pilot 101 for Discoverant Users 

BIOVIA 

Karri Unruh 

BIOVIA Pipeline Pilot is proving to be a very powerful extension to BIOVIA Discoverant, and many Discoverant users 

can’t wait to use it like experts! Join us as we demystify this powerful new technology: in this session we will review 

the various elements of Pipeline Pilot, outline the configuration requirements for integrating Pipeline Pilot with 

Discoverant, and walk through creating a protocol with components from the Discoverant Collection. 

Brand: BIOVIA 

Lot Genealogy – Making the Most of Weighted Averages 

BIOVIA 

Karri Unruh 

When analyzing the effect upstream activity has on downstream results, it is important to distinguish the 

characteristics of raw materials or upstream lots that contribute to outcomes. BIOVIA Discoverant can be invaluable 

in tracing lot genealogy through manufacturing processes that contain multiple splitting and pooling steps, but there 

has been no way to determine the contribution that each input lot has to an outcome. Join us as we discuss the ways 

in which this next release of Discoverant will provide weighted averages based on contribution amounts from pooled 

steps and raw material lots, promoting even more powerful correlation analysis. 

Brand: BIOVIA 

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Discoverant 2017 Sneak Peak and Roadmap 

BIOVIA 

Karri Unruh 

It’s that time again! Intended for end-users and technical administrators alike, this session provides a look at the 

new features and system architecture changes planned for BIOVIA Discoverant 2017. Topics include new methods 

for Stability and Expiration Dating, advanced weighted averages for proportional genealogy mapping, new options 

for configuring Discoverant to support 24x7 Analysis Group processing, and many more enhancements to existing 

tools that can help you make more powerful decisions. In addition, we will review the product roadmap and discuss 

product direction beyond this year’s release. 

Brand: BIOVIA 

Lightning Round: Short Presentations from Pfizer, Ariad, LabAnswer, Saber Informatics, and BIOVIA 

about Interesting Work in the Predictive or Collaborative Sciences Areas 

BIOVIA 

Ton van Daelen 

The consistent feedback over the years has been that customers sharing their work have been the most valuable 

aspects of the meetings we organize and for that reason we are including a ‘customer lightning round’ session to the 

upcoming community conferences in the US and Europe. To maximize the diversity of the content this session will have 

a format of short 10 minute presentations about work you have done in the predictive or collaborative sciences areas 

Brand: BIOVIA 

DocCompliance: Overview of New Features and Enhancements 

BIOVIA 

Murtuza Vasowalla 

DocCompliance is an electronic document management system (EDMS) application and has received many new 

features and enhancements to old ones. Learn about some of the new features and how best to utilize them. 

Brand: BIOVIA 

Panel: Enhancing the Capabilities of License to Cure Applications with Partner Solutions 

BIOVIA 

Murtuza Vasowalla 

License to Cure applications leverage several third party technologies that provide significant value. Learn about some 

these technologies and their features. 

Brand: BIOVIA 

Extending the Value of Your License to Cure Solutions with Professional Services 

BIOVIA 

Sean Winslow 

BIOVIA Professional Services is a long-tenured team of individuals that have implemented DocCompliance and 

ProcessCompliance at small, mid-size, and very large organizations. Learn about the programs and services offered 

by BIOVIA to maximize your investment in our products. 

Brand: BIOVIA 

BIOVIA LES Implementation in Support of Biologics Clinical Manufacturing: Lessons Learned from a 

Multi-year Journey 

Bristol-Myers Squibb 

Lori Harmon 

While the unvalidated groups of Biologics development moved from paper to electronic notebooks several years 

ago, the validated department supporting biologics clinical manufacturing stayed on paper. While the business area 

understands the benefits of moving to electronic, the process of converting over a hundred historical methods has 

not been straightforward or quick. The presentation will cover the original strategy, how that has evolved over the 

years, and lessons learned along the way. 

Brand: BIOVIA 

61

Integrating Laboratory Informatics with a Process Intelligence System for Parenteral Formulations 

Bristol-Myers Squibb 

Dadong Li and Ed Keefe 

For drug product formulation accessing data is paramount to understanding the process. The data, which includes 

process parameters, analytical results and batch genealogy, is often dispersed across different electronic systems and 

paper records which reside with multiple individuals. This presentation will discuss the implementation of a process 

intelligence system for parenteral formulations and the approach taken to standardize data capture. It will focus 

primarily on three tools: the electronic lab notebook (BIOVIA Workbook), laboratory execution system (BIOVIA LES) 

and process intelligence software (BIOVIA Discoverant). 

Brand: BIOVIA 

Coupled Eulerian-Lagrangian Contact Modeling for Airbag Deployment Simulation 

BMW AG 

Bastian Näser, Sigrid Horz, Doris Ruckdeschel, Ivan Podkolzin 

The coupled Eulerian-Lagrangian (CEL) method in Abaqus/Explicit is essential in component design of head protection 

systems at BMW Group as it allows an accurate modeling of the gas behavior. However, due to the nature of the 

algorithm, the modeling of the contact between inflator gas and airbag membrane is a challenging task. Using 

conventional modeling techniques, two airbag membrane sections are not able to separate again, as soon as they 

come into contact, as the membrane elements are embedded into Eulerian cells entirely filled with inflator gas. The 

proposed modeling approach overcomes this severe contact issue and allows separation of the membranes after 

having been in contact. The method has successfully been applied for airbag deployment simulations within the 

development process at BMW Group. 

Brand & Keywords: SIMULIA, Contact & Impact Mechanics 

Predicting Post-Drop Failure of Ceramic Chip Capacitors using Abaqus/Explicit 

Bosch 

Vijeesh Vijayan, Chandan Kumar Ghosh and Sudarshan Hegde 

Transients generated by drop can sometimes be severe enough to cause failure of electronic components. Ceramic 

chip capacitors form an essential part of modern day electronics. These are known to undergo flex cracking during 

board bending as would result from drop for example. Cracked c-chips would undergo burnout when electric current 

passes through it. Partial cracks can also result which may go unnoticed during functional tests and may result in 

catastrophic system failure during operation under harsh conditions. It is thus imperative that an efficient method 

exists for predicting post-drop failure of c-chips. Towards this goal, a case of capacitor burn-out during post-impact 

functional test has been taken up for the current study. With an objective of understanding the system dynamics 

and the mechanics of failure, explicit dynamic simulations were performed using Abaqus/Explicit. Simulations could 

predict existence of strain peaks exceeding the failure limits considered and existence of post-drop displacement 

hinges. The orientation of the c-chip was altered taking hints from the simulation. Further testing did not produce 

any system failure in post-impact functional tests. The paper discusses the methodology adopted in the current 

study and its limitations from the perspective of predicting failure, and suggests methods for diagnosing small SMD 

components effectively to avoid any catastrophic failure that may arise from latent failures that go undetected. 


C 

Improving Rubber Tread Designs Against Heat Build-Up Under Cyclic Loading Using Strain Energy 

Camso 

Sergio Arias, Dr. Bahram Sarbandi, Priyantha Sriwardene 

Heat generation in rubber is a complex phenomenon that occurs when a rubber component is being cyclically loaded. 

The development of this heat build-up comes from the visco-elastic nature of rubber compounds that occurs during 

the loading and unloading processes, and it is a difficult mechanism to quantify numerically. A lot of research on 

this particular and characteristic behavior of rubber has been done essentially since the invention of rubber. Over the 

course of the last decade or so, there have been numerous breakthroughs in the area of heat generation, and finite 

62

element codes are beginning to provide solutions to study this behavior. However, it is still a very complex parameter 

to measure and validate for practical purposes. As a result, an alternate way to devise a method to improve the 

designs of treads in our tracks against the development of heat build-up is to study the strain energy. The purpose of 

this research is to understand how we can use the strain energy developed under one full load cycle and utilize this 

to design a new and better generation of treads that can meet the constant increasing demands for performance in 

the world of rubber tracks. 

Brand & Keywords: SIMULIA, Design Optimization, Durability & Fatigue 

Simulating Blood Flow in a Living Heart Model 

Capvidia 

A. Aksenov 

Being able to visualize blood flow in a living heart helps to understand heart diseases and define strategy for surgical 

intervention. The ideal simulation should be performed on a specific patient heart model (individual geometry) 

to correctly asses the specific cardiac problem and predict possible treatment. In this paper, two approaches are 

presented for simulating blood flow using numerical CFD approach: simulation based on the SIMULIA Living Heart FE 

Model and simulation based on dynamic 3D heart model obtained from a 3D MRI/MRT scanner. The CFD simulation 

is performed in both cases using FlowVision CFD code. Both approaches provide a better understanding of the blood 

flow during a cardiac cycle. The simulation using dynamic heart model from 3D MRI has the advantage to be patient 

specific and can be used for diagnoses and definition of treatment strategy for a specific patient. The simulation 

based on the Living Heart FE Model is more suitable for function and performance evaluation of medical devices 

such as stunts or artificial heart values to understand and predict their influence on blood circulation system. Both 

approaches open new possibilities for cardiac related applications. As both methods are in a very early stage of the 

development, it is difficult to cover and predict all potential applications areas and benefits at this stage. This paper 

is intended to start the dialogue between cardiologists and engineers to challenge the limits of current technology. 

Brand & Keywords: SIMULIA, Biomedics, Two-way CFD Coupling, Living Heart Model, Computational Fluid Dynamics, 

Fluid-Structure Interaction, Blood Flow 

Two-Way Strongly Coupled FSI Simulation using Abaqus & FlowVision 

Capvidia 

Sinan Soğancı 

Capvidia, being established in 1994, is a leading engineering software developer for CFD, MBD/MBE, CAD data 

translation/validation and reverse engineering areas. In CFD market, Capvidia has pioneered new technology to 

deliver complex and challenging FSI (Fluid-Structure-Interaction) simulations. This has been accomplished using 

co-simulation with Dassault Systèmes SIMULIA Abaqus and Capvidia FlowVision. FlowVision is a complete CFD 

software package, being developed for more than 20 years and used by engineers worldwide from various sectors. 

Due to unique capabilities like automatic mesh generation, FlowVision can easily be integrated with other FE codes. 

Integration with SIMULIA Abaqus is achieved through SIMULIA CSE (Co-simulation Engine) and provides capability for 

solving the most complex FSI problems. Automatic meshing and capability of dealing with dimensionality problems 

created a solution for problems like simulation of hydroplaning, simulation of sealing components, simulation of 

screw compressors and other complex multi-physics problems difficult to be addressed by other software on the 

market. Above all, Capvidia is pioneering the FSI market for over 10 years and tightly cooperated with Dassault 

Systèmes including active participation in research initiatives such as The Living Heart Project. The Co-simulation 

approach presented with Abaqus and FlowVision has several outstanding properties, as briefly described below: 

Two-Way Strongly Coupled FSI Simulation using Abaqus & FlowVision • Automatic Re-Meshing (Not Limited to Mesh 

Deformation) • Coupling; Natural Data Exchange between CFD and FE Meshes (No Intermediate Mesh like MPccI) 

• Multi-Physics Manager; (Re)Starting Co-Simulation & Real-Time Results Monitoring • Completely Independent 

(Implicit/Explicit) Integration Steps • Data Exchange at User-Defined Number of Time Steps 

Brand & Keywords: SIMULIA, CFD, MBD, MBE, CAD, FSI Simulations, CFD Coupling 

CATIA|SFE CONCEPT - A Comprehensive Paradigm for Design Modification and Simulation 

CATIA 

Fast geometry modeling in the earliest phase of virtual development, unlimited parametric variation even of large 

structure models and that allows designers to validate the functional performance of a structure before investing in 

details. Immediate readiness for simulation – those are the ingredients for a simulation-driven process Now we strive 

63

to go beyond this. Increased quality of the simulation models, maximum flexibility and high precision of control in 

parameter-driven modifications will allow for the next level of automatic shape optimization. 

Brand: CATIA 

Drive Disruptive Composites Solutions for Clean Energy 

CATIA 

Discover new composites solutions for sustainable product development and manufacturing. 

Brand: CATIA 

Industrial Adoption of Additive Manufacturing 

CATIA 

Remove barriers between modeling, simulation and optimization from concept to detailed organic shapes. Regain 

control through generative 3D printer programming, coupled with process simulation and optimization. 

Brand: CATIA 

Multiphysics & Mechatronics 

CATIA 

Mechatronics is a multidisciplinary field of engineering that includes a combination of systems engineering, 

mechanical engineering and electrical engineering. This content showcases how CATIA 3DEXPERIENCE enables the 

user to manages mechatronics related topics while including multiphysics within the equation. 

Brand: CATIA 

Finite Element Analysis for Understanding Oil and Gas Well Deformation Mechanisms 

C-FER Technologies 

Jueren Xie, Cam Matthews and Thomas Dessein 

Over years, well deformation problems has drawn increasing attention from oil & gas industry. Severe well 

deformation may cause well failures due to reduced structural integrity (e.g. parting, collapse and buckling) and 

limited well access. Well deformations developed are often related to the stimulation methods where the operation 

pressure and temperature may cause structural and formation loads acting on the wellbore. 

To develop well remedy and repairing strategies, Finite Element Analysis (FEA) is often used to determine and predict 

the magnitude of well deformations over the service history, as well as to understand the deformation mechanisms to 

relate to the cause of such deformations. This paper presents several FEA models used to analyze well deformations, 

such as casing connection parting, wellbore curvature, tubular collapse and buckling. A couple of field case studies are 

also presented to demonstrate the well deformation investigation approaches, which involve FEA, well caliper survey 

and the postulate of deformation mechanisms. 

Brand & Keywords: SIMULIA 

Using FEA to Determine Test Speed for High Speed Shear Test on BGA based on Field Conditions 

CISDI Engineering Co., Ltd. 

Sheng Li, Chen Mon, Yu Liu and Jiang Chen 

Accurate simulation of metal casting press-forming process needs to consider mutual coupling effects in a number 

of different fields of physics subsystem. Hydraulic systems, control systems and mechanical systems are the most 

important subsystems among them. It is difficult to create various subsystems in detail in single modeling tools, so 

co-simulation technology is used to take advantage of different tools to achieve the entire physical process of systemlevel 

simulation. The paper researched the co-simulation in the Abaqus software and the Matlab software based on 

FMI technology. It considered the coupling effect between different systems fully simulated and the metal casting 

press-forming process. The simulation result showed that co-simulation based on FMI can be well suited for multidisciplinary 

co-simulation in complex mechanical model as it played a well-guiding role in the engineering design. 

The co-simulation would take more than traditional simulation computation time, but by using this technology it 

can be achieved to research the integrated features of the system, greatly reduce experiments costs and prototype 

trial risks. 

Brand & Keywords: SIMULIA, Multiphysics & Co-simulation 

64

Academic / Small Company Collaborations for Rare and Neglected Diseases 

Collaborations in Chemistry 

Sean Ekins 

While there is huge incentive to develop treatments for millions of patients with neglected diseases or those with 

any one of the over 7000 rare diseases that could revolutionize their life and family circumstances, the low financial 

return on investment has always prevented major pharmas from addressing this need. I will describe several examples 

from my own experiences of collaborations with academic labs where I have used Discovery Studio, leading to new 

leads for rare and neglected diseases such as Chagas Disease (http://www.ncbi.nlm.nih.gov/pubmed/26114876), 

Ebola and tuberculosis (http://www.ncbi.nlm.nih.gov/pubmed/23521795). 

Brand: BIOVIA 

A Model for Self-Pierce Rivet Process of a Boron Steel 


Martha P. Guerrero-Mata, Stephen Van Hall, Kip Findley 

Self-pierce riveting (SPR) is a cold joining technique used in the automotive industry in instances where resistance 

spot welding is not readily applicable, such as mixed material joints. Improving the mechanical properties of the 

rivet will enable greater versatility of standard rivet and die combinations as sheet material combinations increase in 

complexity. A 3D SPR flaring model was developed for a 10B37 steel to study the effect of different die velocities, 

friction coefficients, mesh densities and material hardness on rivet deformation. The material behavior was input via 

tensile testing data obtained with wire samples according to the ASTM E8 standard, while the die was assumed in all 

cases to be analytical rigid. The results were validated with data from laboratory trials of rivet flaring. The ultimate 

goal of the model is to develop a method to predict cracking at the tail of the rivet, buckling of the rivet legs, and 

other responses of the rivet in order to correlate rivet performance with alloy properties. 

Brand & Keywords: SIMULIA, Manufacturing, Material Modeling 

Simulation of Glass Forming of Automotive Windshields 


F. A. Celestino Guajardo, J. A. González Rodríguez, F. E. Palomar Pérez, and Oscar Zapata-Hernández 

In recent years, the automotive industry is looking for more complicated aerodynamic shapes in their designs. In 

the windshield manufacturing industry, there is a need for new tools to predict the final shape of the glass obtained 

from the bending process. 2D and 3D finite element simulations were developed using Abaqus/Standard to predict 

the final shape of the glass during high temperature forming process. Uncoupled thermal and mechanical analysis 

were created, a viscoelastic material was considered for the glass and all properties were considered as function of 

temperature. Final shape results were compared with those obtained in real glass bending furnace. 


Predictions of Fluid/Structural Interactions using Abaqus Cosimulation and Advanced CFD Solvers 

Combustion Research and Flow Technology, Inc. (CRAFT Tech) 

Peter Cavallo 

This work presents a coupled fluid-structural interaction (FSI) capability wherein pressure and thermal loads 

predicted by the CRUNCH CFD and CRAFT CFD Navier-Stokes solvers are exchanged with Abaqus/Standard using 

the Co-Simulation Engine (CSE). Multiple domains may be simulated concurrently on separate groups of processors. 

In applications to date, a single processor handles the data exchange with the Abaqus CSE, while many parallel 

processors solve one or more fluid domains. Data exchange is handled through SIMULIA’s Co-Simulation Engine API. 

The boundary surface common to the fluid and solid domains is defined, along with the specific scalar and/or vector 

fields to be exchanged. Point forces, heat fluxes, displacements, and temperatures are passed between the codes 

and simulations may be either one-way or two-way coupled. For FSI applications where the predicted deflections 

are small, deformations are ignored by the fluid domain and the fluid boundaries do not change. In cases where 

the predicted deflections are substantial, a two-way coupling has been established and demonstrated. The fluid 

boundary moves, with the predicted deformations, and a mesh movement solver is employed to redistribute the 

nodes in the fluid domain. 

Applications of the FSI simulation capability to date include vibrational response of weapons bay doors to cavity 

acoustic loads, design guidance for FSI experiments, jet blast deflector heating and cooling, plastic deformation of a 

65

uptured canister, and reentry capsule heating. The final manuscript will emphasize the relevant flow physics as well 

as aspects of the CSE implementation. All computations are performed on DoD DSRC platforms. 

Brand & Keywords: SIMULIA, Design Optimization, Multiphysics & Co-simulation 

Simplifying Composites Process Modeling in Abaqus with COMPRO 

Convergent Manufacturing Technologies, Inc 

Anthony Floyd, David van Ee, Corey Lynam, Goran Fernlund, Anoush Poursartip 

Simulation of the manufacturing of composite materials, composite process modeling, has been gaining acceptance 

since the early 1990s. Starting from simple 1D and 2D representations of composite parts, process modeling of 

complex, fully configured 3D composite parts is now performed on a regular basis. Such simulations, however, require 

a high level of expertise. These analysts must be experts not only in the manufacture of composite materials, but 

they must also be experts in 3D finite element analysis. Convergent Manufacturing Technologies has been enabling 

composite process modeling in Abaqus for over 15 years with its COMPRO libraries. In the past, using COMPRO with 

Abaqus required analysts to create their mesh in a certain manner, and then manually edit the Abaqus input file 

to include the options required to interface with COMPRO. This was a tedious process and prone to error. Recently 

Convergent has released an Abaqus CAE plug-in that walks the analyst through the workflow of creating a composites 

process model simulation and automates all the tasks required to set up the analysis with COMPRO. This CAE plugin 

has lowered the level of expertise required to perform these types of analyses, enabling broader adoption among 

OEMs. This paper will demonstrate how the use of the COMPRO Plugin for Abaqus/CAE simplifies composites 

process modeling in Abaqus. 

Brand & Keywords: SIMULIA, Composites, Manufacturing, Material Modeling, Multiphysics & Co-simulation 

Using an Intermediate Validation Step to Increase CAE Confidence 

Cornell University 

Christopher Wolfrom, Megan Lobdell, Hubert Lobo 

Simulating a product before creating a prototype manages performance and production risks, saving time and 

money. These simulations contain assumptions and uncertainties that a designer must evaluate to obtain a measure 

of accuracy. The assumptions of the product design can be differentiated from the ones for the solver and material 

model through the use of a mid-stage validation. This is an open loop validation that uses a standard experiment 

to compare results from both a simulation and the physical experiment. From the validation, confidence in the 

material model and solver is gained. This study demonstrates the stages from material testing to the benchmark 

validation. Using a polypropylene, the material properties are tested to characterize for an *ELASTIC *PLASTIC model 

in Abaqus. The benchmark experiment of a quasi-static three point bending experiment of a parallel ribbed plate is 

then performed and simulated, demonstrating the complex stress state. A comparison of the strain fields on the face 

of the ribs obtained by digital image correlation (DIC) and simulation is used to quantify the simulation's fidelity to 

the physical experiment. 


FSI Simulation on a Reed Valve using SC/Tetra and Abaqus 

Cradle North America Inc 

Yuya Ando 

SC/Tetra, developed by Software Cradle Co., Ltd., is a standalone general purpose CFD software based on unstructured 

Finite Volume Method solver. It can be coupled with Abaqus through the Co-Simulation Engine (CSE) to solve Fluid 

Structure Interaction (FSI) problems. SC/Tetra is capable of handling moving bodies using the Arbitrary Lagrangian- 

Eulerian (ALE) approach. It can also handle complicated motions with its Overset Mesh capability. Combining these 

capabilities makes it possible to handle motions in which one object touches another object or wall where fluid 

volume becomes zero. These capabilities enable SC/Tetra to handle challenging FSI simulations including large 

deformation and contacting motions. This presentation showcases several FSI simulation cases including a validation 

followed by a reed valve simulation. In this simulation, a reed valve is pushed open due to the pressure buildup caused 

by the motion of a piston. The reed hits a stopper and it comes back to the close position. This challenging motion 

(including the fluid volume becoming zero) is successfully simulated using ALE and Overset Mesh. 

Brand & Keywords: SIMULIA, CFD, Finite Volume Method, FSI Simulations 

66


Cray 

Gregory A. Clifford 

Petascale computing environments are now widespread in the CAE simulation world. Cray is the leader in delivering 

petascale environments for production HPC computing. This presentation will discuss CAE simulations that demand 

a petaflop of compute power, and the challenges in delivering, building and efficiently using a petaflop simulation 

environment. 

Keywords: HPC, petascale 

Harmonizing High-Tech Product Performance and Safety by Electromagnetic and Structural Co-Design 

CST 

David Johns 

Electromagnetic fields are used intentionally for communication, sensing, wireless charging, radar detection, 

medical imaging and microwave heating. While bringing huge benefits in the quality of life, electromagnetic 

fields are unintentionally absorbed by the human body, which has caused widespread concern about the potential 

detrimental effects on human health. High tech companies are increasingly recognizing the importance of balancing 

electromagnetic performance and safety early in design and electromagnetic field simulation is an essential part 

of this process. The huge pressures faced by companies to bring new products to market as fast as possible is also 

causing a shift towards multi-disciplinary design, where electromagnetic and structural design goals are optimized 

together, rather than in an isolated, dis-jointed fashion. This presentation will discuss the challenges designers face 

in balancing electromagnetic performance and safety, and highlight recent initiatives taken by CST and Dassault 

Systemes to deliver significant improvements in electromagnetic and structural co-design. 

Keywords: Electromagnetics 

D 

Optimization of Heavy-Duty Cylinder Head Gasket Manufacturing Press Using Isight 

Dana Holding Corporation 

Jason Tyrus, Rohit Ramkumar, Kevin Shaver, Kevin Harris 

The production of heavy-duty cylinder head gaskets requires processing large sheet materials in a relatively short 

amount of time. In many cases, there is a need to quickly heat the materials to a consistent and uniform temperature. 

This high-volume process contrasts with a typical heated-press molding operation where the time required for each 

press cycle is much longer, on the scale of multiple minutes rather than seconds. Raw material weight of several 

kilograms and a required temperature increase of more than one-hundred degrees Celsius cause the power supply 

and control requirements to be very complex. Modification of platen designs and development of a new process 

require unique simulation techniques to optimize the process and equipment. 

In this paper, Isight and Abaqus are used to simulate and improve the multiple-stage manufacturing process of 

heavy-duty cylinder head gaskets. An iterative procedure using Abaqus with programming is first used to identify the 

required power input to achieve steady-state press operation. An Isight process flow is then developed to simulate the 

manufacturing process of coils of material being fed into continuous process equipment and automatically bonded in 

a heated platen press simulated by Abaqus. Isight parameter studies are then applied to examine the heater power 

required to maintain a consistent temperature on the platens to minimize both heat loss and press stabilization 

time. It is demonstrated how the combination of Abaqus and Isight is used to improve both the heavy-duty gasket 

manufacturing process performance and the resulting product quality. 

Brand & Keywords: SIMULIA, Composites, Design Optimization, Manufacturing, Optimization 

Metal Fatigue: Failure and Success 

Dassault Systemes UK Limited 

John Draper 

Metal fatigue failures were first reported in the 1830's, and by 1860's many of the basic principles of fatigue had been 

established. The following 100 years were characterized by promising developments that were ignored or forgotten; 

and by a tendency to focus on topics which are now seen to be largely irrelevant. As a result, design errors common 

in the 1850's were still common in the 1950's. Fatigue life calculations were characterized by error and uncertainty. 

67

Since the 1950's the accuracy of fatigue life predictions has been transformed, so that we can now predict allowable 

stresses to the same accuracy as those stresses can be calculated. 

The accuracy of modern fatigue design methods is now focusing attention on fatigue testing and the test methods 

used to validate designs. 

Brand and Keywords: SIMULIA, fatigue 

Rapid and Definitive Simulation of Next Generation Electronics 

DfR Solutions 

Craig Hillman 

The rapid proliferation of electronics into all industry segments (mechatronics) is forcing Abaqus users to incorporate 

electronic architecture into their modeling and simulation activities. Sherlock is the only tool (CAE app) on the market 

that allows Abaqus users to seamlessly translate electronic design information (EDA) into accurate three-dimensional 

(3D) models with the necessary intelligence (material properties, contact interactions, boundary conditions) and 

detail (leads, solder balls, heatsinks, traces, vias, potting, coating, wire bonds) to perform comprehensive finite 

element analysis. Sherlock also offers comprehensive post-processing support, with the ability to provide time-tofailure 

prediction under thermal shock, thermal cycling, power cycling, mechanical shock, drop, harmonic vibration, 

and random vibration. All damage models have been validated by commercial organizations in multiple markets and 

academic institutions. This presentation will demonstrate the Sherlock tool and provide insight into the ease of use 

that has made Sherlock the dominant EDA-to-FEA parser on the market today. Several case studies will be used to 

present the how’s and why’s on incorporation of Sherlock within organizations and along the entire supply chain 

and the repeatable demonstration of significant cost avoidance and return on investment. A specific focus will be 

on how Sherlock is driving FEA 2.0; by lowering the expertise and time required to build up finite element models 

of electronics and providing more definitive results, Sherlock has greatly increased acceptance of simulation and 

modeling and expanded the use of Abaqus through more users and a greater number of tokens. 

Brand & Keywords: SIMULIA, Electronics, Mechatronics, EDA, Post-Processing, Electronic Architecture 

Automated Translation of Non-Symmetric BGA Design into Copper-Featured Three-Dimensional 

Abaqus Models 

DfR Solutions 

Gilad Sharon, Greg Caswell, Nathan Blattau 

Package technology is constantly improving in order to keep up with the advances in silicon technology. Multi 

layered packages exhibit several failure modes that can be predicted using modern software tools. This paper 

provides a methodology for creating a high-fidelity model of the interposer with all the conductor geometries in 

Abaqus/CAE. The two failure modes that are explored with this model are package warpage prediction due to actual 

copper imbalance and filled microvia delamination. Each layer can meshed based on the actual geometry in the 

layout design. Package warpage is caused by copper imbalance between the two sides of the interposer. The CTE 

mismatch between the two sides can bend the package to such a degree that it becomes impossible to assemble the 

solder interconnects. The filled microvias have copper structures that can delaminate from the copper traces in the 

conductor layers. The high-fidelity model provides the predictive tool to allow designers to adjust the layout before 

any manufacturing has taken place. 

Brand & Keywords: SIMULIA, Package warpage, Trace modeling, Via fatigue failure, Via delamination, Substrate 

modeling 

Vibrations Reduction and Control System Improvement using Abaqus/Dymola Co-Simulation 

Digital Product Simulation Inc. 

Christophe Baroux, Eashan Liyana, Moncef Hammadi 

A gantry robot consists of a manipulator mounted onto an overhead system that allows movement across a horizontal 

plane. Gantry robot systems provide the advantage of large work areas and better positioning accuracy. Unfortunately, 

those systems are often susceptible to vibrations that are impacting the position control system and imply system 

instabilities. To reduce vibration and improve positioning accuracy, a solution is to develop a controller which achieves 

a smoother motion. In this case, co-simulation between plant, i.e. finite element models, and logical control systems 

model is needed to introduce analytical logic within multi-physics systems simulation. The capability of coupling 

Abaqus and Dymola can be used to leverage logical-physical modeling versatility. CATIA V6 platform is actually 

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elying upon this philosophy enabling an innovative and iterative approach of finite elements simulation through 

an integration of control systems models to physical and multi-physical models. A typical application workflow can 

be detailed as followed: measured data (sensors) are issued from Abaqus simulation then passed to Dymola which 

computes loads and/or displacements (solicitations) needed to attain Abaqus models steady state. This paper intends 

to present how we implemented this co-simulation process and results we obtained this way. 


The Future Shape of your Discovery Infrastructure 

Discngine 

Eric Le Roux 

Systems integration can deliver major benefits for a research organization especially in early stages of 

discovery. In most cases the amount of data in hand does not allow reliable manual processing of data records 

anymore. Fortunately, huge advances have been made recently in cross-application compatibility. The 

evolution of application programming interfaces has doubtless improved the success of integrated architectures. 

Here we present how various software components can be tightly integrated to provide efficient biological and 

chemical data management and analysis platforms. Based on Restful APIs and client-side mashup applications, 

deployed in the cloud, on-premise or on hybrid environments, these new architectures can virtually address any 

scientific informatics challenge. 

Brand: BIOVIA 

Modeling of Hytrel® Thermoplastic Elastomer Material for High-Strain Cyclic Loading 

DuPont de Nemours 

Pieter Volgers 

The Jounce bumper or spring assist is an important and active part of a vehicle’s shock-absorber system, which serves 

not only to protect the coil spring and damper but also improves vehicle ride and handling and influences the level of 

comfort by absorbing small movements, such as irregular road surfaces. Currently made from natural rubber or PU 

foam, DuPont has developed a new innovative solution using blow-molded Hytrel® thermoplastic elastomer, using 

the same manufacturing process as for CVJ boots. To support the (patented) design of the shape needed to obtain 

the required response curve, a simulation procedure has been developed to predict the load-displacement curve. 

The subsequent compression response after initial loading, which is different from the initial response curve due 

to the material behavior typical of elastomers, is important for the design. To that aim, a material model for large 

displacements (part compression of 80%) and large elastic deformations (up to 100% strain), including plasticity and 

loss of stiffness is required. Abaqus allows the combination of hyper-elastic models including Mullins effect and 

permanent set, which provides the fundamental behavior of the material. However, Hytrel® thermoplastic elastomer 

behavior is somewhat different than most elastomers, with a particularly high permanent set. This paper describes 

the challenges, limitations and success encountered when applying this material model to the behavior of Hytrel® in 

a Jounce bumper application. 


A Simulation Approach to Combine Multi-Scale Model Features with Failure at Composites Level for 

Short Fiber Reinforced Polymer 

DuPont de Nemours 

Zhenyu Zhang, Alan Wedgewood, Helga Kuhlmann 

In order to facilitate the application of thermoplastic composites in the automotive industry for weight saving and fuel 

economy, an advanced simulation approach is applied to evaluate the performance of an injection molded short fiber 

reinforced composites beam. A fully coupled Digimat with Abaqus homogenization method for multi-scale modeling 

is explored and compared to an uncoupled Digimatï¿½ with Abaqus approach which uses an Abaqus user subroutine. 

A failure model is calibrated to predict short fiber reinforced composites failure. The results obtained with this model 

are presented, demonstrating accurate prediction results. The developed model with homogenization features is able 

to distinguish the behavior of beam with different injection molded process and is validated by comparing predicted 

results with experimental data of beam flexure test under different boundary conditions. 

Brand & Keywords: SIMULIA, Composites, Contact & Impact Mechanics, Manufacturing, Material Modeling 

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Prediction of Nonlinear Viscoelastic Recovery of Thermoplastic Polymers using Abaqus Parallel 

Rheological Framework (PRF) Model 

DuPont Performance Materials 

Mohammed Karim, Zhenyu Zhang, Ye Zhu 

Thermoplastic polymers show significant nonlinear viscoelastic behavior due to which, after removing the applied 

load, these materials have some viscoelastic recovery over time before permanent deformation or set occurs. In this 

work, Abaqus PRF model is used to predict this time dependent viscoelastic recovery. Unlike linear viscoelastic model 

in Abaqus, PRF model can predict the typical nonlinear viscoelastic behavior of thermoplastic materials. Two types 

of testing, stress relaxation and cyclic loading at three different strain levels, are used to calibrate the coefficients of 

PRF model. SIMULIA’s optimization tool, Isight, is used to optimize these coefficients. 

Brand & Keywords: SIMULIA, Design Optimization, Material Modeling, Optimization Methodology of thermalstructural 

analysis in Abaqus software based on plastic fuse-box 

Advances in Density Functional Calculations: Current and Future Technologies 

Durham University 

Stewart Clark 

Abstract: Not available at time of printing 

E 

Crack Damage Tolerance Assessment and Leak-before-break Flow Simulation 

Eaton Corporation 

Jian Ye 

In aircraft bleed air system ducts, cracks may exist or initiate from manufacturing defects in areas of high stress 

concentration which are usually in welds. The initial minor cracks may grow into two possible failures: either the 

crack grows steadily through the wall to form a stable through-crack (leak-before-break), or it becomes unstable 

before or after it has reached the other surface of the duct wall and spreads rapidly over a large portion of the duct 

(break-before-leak), depending on the pressurized hot-air load and the toughness of material. Abaqus/CFD is used to 

calculate the leak-before-break crack leakage rate in the case of a stable through-crack, utilizing the crack dimensions 

obtained from crack propagation simulation. The leakage rate result compares well with an existing explicit equation 

that describes the idealized zig-zag crack flow channel. 

Brand & Keywords: SIMULIA, Manufacturing 

Infrastructure is Data Too: Integrating Support Processes to Improve Workflows and Data Quality 

Eisai 

Jennifer Heymont 

Pipeline Pilot is a powerful tool for integration of disparate systems. In this talk, case studies will be presented that 

show how developing custom software in Pipeline Pilot can increase efficiency by providing applications customized 

to the workflow of groups that execute support processes. The ability to tightly integrate these custom applications 

with multiple data repositories improves data quality by ensuring that information stays in sync as it moves between 

systems. 

Brand: BIOVIA 


Endurica 

William Mars 

Elastomer component developers face two typical risks in durability programs, the risk of 1) premature failure, and 2) 

of costly overdesign. Come learn how Endurica solutions offer simple to use, realistic approaches for getting durability 

right. We will review our elastomer characterization methods, material models and damage accrual methods in the 

context of applications including an automotive cradle mount, a tire, and an aerospace rotorbearing. Endurica LLC 

provides solutions for developers seeking durability in elastomer products. Our solutions include: e-safe/Rubber, our 

plug-in for the fe-safe fatigue analysis environment; Endurica CL, our stand-alone fatigue analysis solution; Fatigue 

Property Mapping, our materials characterization service. 

Brand & Keywords: SIMULIA, Rubber, Durability, Elastomer, fe-safe/Rubber, fe-safe, fatigue 

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Implementation of an Elasto-viscoplastic Constititive Law in Abaqus/Standard for an Improved 

Characterization of Rock Materials 

Eni S.p.A. 

Giorgio Volonté 

Subsidence modeling is an important issue in the oil and gas industry, for the environmental and operational 

implications associated to this phenomenon. Abaqus/Standard has been used for many years in Eni as the main 

numerical simulator for studying the geomechanical behavior of reservoirs. The large amount of monitoring data and 

the advanced analysis of laboratory experiments that are now available have shown that, in some cases, an improved 

mechanical characterization can be tailored to better capture the complex behavior of the reservoir rock under the 

effect of underground fluid withdrawal. In this work we first present an implementation in Abaqus/Standard of an 

elasto-viscoplastic model namely the Vermeer and Neher model as user defined material by means of the UMAT 

subroutine. Finally, we show a preliminary application to a synthetic, nonetheless realistic, reservoir model that has 

been performed to assess the capabilities of the elasto-viscoplastic model in the simulation of subsidence evolution. 


ENOVIA for Science 

ENOVIA 

Getting a product right the first time is necessary to thrive in a crowded marketplace where over 80 percent of 

new product introductions fail within their first year. Learn how ENOVIA helps to accelerate the science behind 

product innovation, enabling chemists and formulators to focus on capturing all product development and regulatory 

information in real-time. With ENOVIA, scientists have secure access to all current and historical product development 

and formulation data, exactly when they need it, to best leverage intellectual property during the earliest research 

phases and be certain that their efforts are properly executed into the development phases. 

Brand: ENOVIA 

BIOSERENITY and EXALEAD Partner for Re-inventing Life Experience 

EXALEAD 

Bioserenity has created the "Neuronaute," a smart healthcare solution for the diagnosis and monitoring of epilepsy. 

You'll discover the apps and the role of EXALEAD technology. 

Brand: EXALEAD 

Simulation and Analytics for Optimized Test Validation 

EXALEAD 

The use of SIMULIA to perform series of different test. The use of EXALEAD to monitor and analyze physical and 

simulation tests based on SIMULIA inputs. 

Brand: EXALEAD 

Mechanics of Hydraulic Fracturing in Ultra-low Permeability Formations: 

the Role of Cavitation and Sorption 

ExxonMobil 

Sandeep Kumar, Matias Zielonka, Kevin Searles, Ganesh Dasari 

Hydraulic fracturing (HF) comprises nucleation and growth of fractures in rock formations via flow-induced 

pressurization. HF is routinely used as a means of stimulating low permeability rock formations to enhance the oil/ 

gas recovery. The physical processes in the fracture process zone (FPZ) during HF are usually very complex because 

of the coupling between fracturing-fluid flow, rock deformation and diffusion of host fluid. Identifying all the critical 

pieces of physics is the key to developing a reliable full-physics modeling and simulation capability. Such a capability 

will not only enhance our understanding of HF but will also aid greatly towards the development of an effective 

stimulation strategy. 

The role of cavitation and sorption is typically ignored in hydraulic fracturing simulations because the rock formations 

are believed to remain always fully saturated during HF. However, by combining the multi-physics Finite Element 

Analysis (FEA) with the analysis of Polyaxial Test Cell (PTC) experiments, we show that ignoring cavitation and 

71

sorption leads to spurious outcomes in the FEA simulations of fluid-driven fractures in low permeability formations. 

The FEA simulations, in the absence of cavitation and sorption, predict an unrealistically large suction (negative 

pressure) ahead of the crack-tip which grows without bound upon refinement of the FEA mesh. Because of such a 

large suction at the crack-tip, the break-down pressure obtained from the simulations is anomalously large and lacks 

objectivity (i.e., progressively increases upon a continued refinement of the FEA mesh). 

Mechanistic insights gained form FEA simulations suggest that the negative pressure ahead of the crack-tip causes 

cavitation, resulting in the creation of a partially-saturated region around the crack-tip. This means that irrespective 

of the initial saturation of the rock, inclusion of cavitation and sorption phenomena in the modeling is necessary for 

adequately resolving the physical processes in the FPZ. The revised FEA simulations of hydraulic fracturing show that 

the inclusion of cavitation and sorption in the simulations eliminates the unrealistically large suction at the crack-tip, 

regularizes the break-down pressure and removes the noted lack of objectivity. 

Brand & Keywords: SIMULIA, Geomechanics (Oil & Gas) 

F 

Vehicle Durability Simulation Using Contact Nonlinearity and Discrete Spot Weld Connectors 

FCA Engineering India Pvt Ltd 

Roshan Mahadule, Kameshwar Rao Appana 

Vehicle durability is one of the important areas in overall vehicle design space. This is a key attribute which builds 

perception of a vehicle in customer’s mind. Now days, Computer Aided Engineering (CAE) is used extensively in the 

automotive industry to predict the durability performance of a vehicle. Early prediction of real durability issue and 

evaluation of different design proposals to improve the vehicle durability performance saves great amount of time 

and cost. 

Conventional process for predicting vehicle durability employs linear inertia relief analysis to derive stress response of 

a structure. Strain based fatigue life analysis is carried out for the stress response which is scaled by virtual proving 

ground loads obtained from multi body dynamics simulation software. Fatigue life predicted with this method does 

correlate the test results but many a times more conservative. This is mainly contributed by local force transfer 

through spot weld connectors represented with rigid elements. 

This paper describes an approach for vehicle durability assessment considering contact nonlinearity in full vehicle 

model and non-rigid spot weld connectors. This approach is chiefly modified over conventional process to simulate 

load transfer more precisely through surface interaction; this eliminates the pseudo low life regions and thus 

minimizes the overall design development time, cost and weight. Vehicle durability simulation with new approach 

predicts fatigue life with more accuracy and reliability. 

Brand & Keywords: SIMULIA, Contact & Impact Mechanics, Design Optimization, Durability & Fatigue 

Prediction of Aluminum Wheel Distortion under Pothole Impact 

FCA Engineering India Pvt Ltd 

Mohammed Billal Kamal, Gurumoorthy Sankara Subramanian 

In the vehicle design, the interaction between road and vehicle is the main subject in order to meet the durability , NVH 

& handling performance. Potholes in the road will cause damage to the wheel, suspension and chassis components. 

Pothole size and vehicle speed are the main factors for the damage. The larger pothole will cause severe damage or 

alignment issues. Based on the impact severity , damage will happen in the wheel rim and there will be a reduction in 

the air pressure in the tire. In long-term, it will damage the suspension or steering components and it can also leads 

to premature tire wear and poor handling of the vehicle. Prediction of pothole effect in the vehicle will be useful for 

redesigning the components at the design stage itself to avoid the damage. To predict the pothole event , several 

methods and virtual tools are available. The nonlinear dynamic behavior of the vehicle during pothole impact will be 

captured accurately using Abaqus FE solver. The tire model plays a vital role by absorbing energy during the impact. 

The effect of vehicle speed at pothole impact is also studied. The CAE model of tire is validated with some physical 

test results and it is used in the vehicle pothole impact simulation. This paper explains more about the modeling of 

tire, suspension and vehicle, simulation methodology and the correlation of CAE results against the test values. This 

pothole impact simulation method gives an indication to make the design changes also. 

Brand & Keywords: SIMULIA, Contact & Impact Mechanics, Dynamics & Shock, Multi-body Dynamics and Systems 

Engineering, Multiphysics & Co-simulation, Tires 

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G 

SPDM at GE Design System Collaboration 

GE Power 

Andrew Kneeland 

Implementing a new system in any big company is a challenge, for SPDM that is a process that requires planning 

and working with change. At GE we've learned several of these lessons. From lessons learned on how-to implement 

in a difficult environment, we'll give some insights from our process. GE is looking at a future in the Digital Industrial 

revolution and we see that Simulation Process and Data Management are important to that realization. 


Cylinder Head Valve Guide Wear Analysis of Internal Combustion Engine 

General Motors 

Cherng-Chi Chang, Michael Nienhuis, Bo Yang, Saurabh Bahuguna 

An analytical process was developed to study the root cause of the exhaust valve guide wear in the gasoline engine 

from a high mileage accumulation vehicle test. A thermo-structural model was created to determine maximum cam 

bore misalignment based on engine thermal structural analysis. Then a valve train dynamic model was developed as 

a submodel based on cylinder head thermal deformation, the cam axis was adjusted based on the maximum cam bore 

misalignment in this dynamic model and valve tip side load from cam and rocker arm was calculated. Normal and 

reversed spin of cam was performed to study its effect on rocker motion between left and right bank cylinder heads. 

Valve and guide contact was monitored during the dynamic analysis and the resulting valve and guide deformation 

from this dynamic analysis was input to a tribology model to calculate the guide wear rate. Abaqus/Standard was 

used in thermo-structural analysis, and Abaqus/Explicit was used for valve train dynamic analysis. Based on this 

study, the root cause of the guide wear was verified. 


The Gilead Structure Portal – An Integrated Solution to Organize and Disseminate 

3D Structural Project Data 

Gilead Sciences 

Uli Schmitz 

Since structures are loaded into a viewer on demand, there is no size limit to the overall structure collection. 3D visualization 

supports both Discovery Studio (BIOVIA) and Pymol (Schrödinger) and the web GUI is driven by Pipeline Pilot. 

Browsing and selecting molecules is aided by 2D-structure images. Several search options are available and 

annotations are stored. We will discuss lessons learned. 

Brand: BIOVIA 

Integrating Lab Systems to Gain Efficiency at Analytical Operations and QC Labs 

Gilead Sciences 

Sachin Sontakke 

Integrating LIMS, LES, IM, ELN, Empower systems helps gaining superior compliance but also improving efficiency. 

Without integration, the systems work in silo. They can cause efficiencies in the existing processes, duplicate data 

entry and compliance risks. System integrations need to be purpose based. Understanding actual use cases by 

working with scientist is the way to go to develop system integrations. The presentation will cover a case study 

of implementing systems in Silo, user feedback and how the purpose based integrations can be planned to gain 

compliance and efficiency in R&D and QC labs. 

Brand: BIOVIA 

Materials Gateway 4.0 for Abaqus/CAE – Preparation, management and use of 

materials data for simulation 

Granta Design 

Peter Cherns 

Materials information management is important throughout the simulation lifecycle, and it plays a crucial role in 

successful, fast, accurate CAE. This presentation focuses on the software tools provided by Granta Design to enhance 

73

the capture, preparation, management and use of materials data in order to support these activities. Granta Design 

are based in Cambridge, UK and have been focused on the field of Materials Information Technology for more than 

20 years. The latest version of the industry leading GRANTA MI software, including direct integration with Abaqus/ 

CAE, will be demonstrated. GRANTA MI:Materials Gateway for Abaqus/CAE enables users to directly access and use 

validated CAE material models from their materials database without leaving the CAE environment. Import of this 

data is carried out while retaining full traceability to the source. 

Brand & Keywords: SIMULIA, Materials, CAE 

Strength Analysis of Thermoplastic Containers Using Numerical Simulation 

Grupo Smarttech 

C. Pagliosa 

This study presents a numerical simulation strategy developed for strength analysis of thermoplastic containers. The 

method is based on the finite element analysis of both, the blow-molding process and the in-service loadings. The 

blow-molding analysis is performed to get the molded shape thickness distribution and axial and circumferential 

stretch fields. The preform thickness and the coefficient of friction between the preform and the mold cavity are 

treated as parameters. They are varied until a good estimate of the thickness distribution is achieved. The thickness 

distribution obtained from the blow-molding analysis is then used in the subsequent loading analyses on the finished 

product. An anisotropic material is defined based on the actual material properties at the loading temperatures. The 

loading analyses are performed to get the stress fields on the finished product subjected to drop test and vacuum load. 


The BioRegistration Journey at GSK 

GSK 

Leah O'Brien 

Biopharmaceuticals are now an established part of GSK’s R&D pipeline. Critically, Biopharmaceutical assets have 

grown from

simplified 3D calculation of CVPDD on the basis of maximum plastic strain for a given well in offshore Gulf of Mexico. 

A fully-coupled, poro-elastoplastic model was adopted to simulate the porous flow that occurred simultaneously 

with matrix inelastic deformation. A submodeling technique was adopted to address the discrepancy between the 

scale of the oil field and that of the wellbore section. Dual-stress-concentration around the perforation tunnel was 

simulated. Resultant values of plastic strain caused by pressure drawdown were visualized and analyzed along with 

the distribution. Values of CVPDD were suggested on the basis of a numerical solution of plastic strain. The method 

proved to accurately predict CVPDD. Visualization of 3-D numerical results not only illustrates the values of plastic 

strain, but also shows the size of the plastic region induced by pressure drawdown, which is useful in selecting the 

CVPDD. Results indicate that the 3-D finite element method is a highly efficient tool for predicting CVPDD. 


Evaluation of Effects of Trapped Fluid on Downhole Tool Deformation 

Halliburton 

Allan Zhong 

During finite element analysis of downhole tools, the fluid load, such as hydrostatic pressure, reservoir pressure, 

or applied pressure, is simply represented by uniform static pressure/stress. This approximation of fluid load has 

been shown to be effective and accurate enough for many applications and is widely accepted. However, this fluid 

load representation can be problematic in terms of trapped fluid because the pressure from trapped fluid, which is 

typically confined between seals, changes with deformation or deflection caused by applied pressure or axial tensile 

or compressive loads on surrounding structures. This paper uses a finite element algorithm to model trapped fluid, 

thereby accounting for the coupling between the deformation of the surrounding structure and pressure from the 

trapped fluid acting on the structure. The algorithm is applied to evaluate how the pressure of trapped fluid between 

sealing points in the annulus of a tubing string change with surrounding pressure: 1) under a very high production 

flow, the tubing pressure drops significantly, it is important to know whether the trapped fluid will cause tubing or a 

tool component to collapse or not; 2) in reverse, during setting process, it important to know the amount of pressure 

increase from the fluid in the sealed-off section. Comparisons of predictions from models with and without fluid 

highlight the need to account for fluid structure interaction in evaluating the effect of trapped fluids. 


Billions and Billions of Molecules: Exploring Chemical Space for Functional Molecular Materials 

Harvard University 

Alan Aspuru-Guzik 

Many of the challenges of the twenty-first century are related to molecular processes such as the generation and 

storage of clean energy, water purification and desalination. These transformations require a next generation of 

more efficient, chemically stable, and non-toxic materials. Chemical space, the space of all possible synthesizable 

molecules, is practically infinite and promises to have relevant candidate functional molecules to address these 

challenges. One of the main goals of my research group is to develop understanding and tools for the exploration 

chemical space in order to accelerate the discovery of organic materials. 

Our design cycle is sped up by the constant interaction of theoreticians and experimentalists, the use of highthroughput 

computational techniques, machine learning, and the development of specialized big data tools. We have 

had recent successes in theoretically predicting and experimentally confirming in record times top performers in the 

areas of organic electronics, organic flow batteries and organic light-emitting diodes. In this talk, I will discuss what 

I consider are the key factors related with a successful high-performance screening approach as illustrated by these 

three different applications. I will end by discussing the future prospects and challenges associated with developing 

appropriate metrics for the cartography of chemical space. 

Brand: BIOVIA 

Integration for installation Upper Body of the European Semi-bonnet Truck 

Hyundai Motor Company 

Ji Yong Song, Wook Jin Na 

The semi-bonnet truck consists of chassis cab composed of cabin (CAB) and chassis frame and upper body (UB) such 

as tipper and box etc. And chassis cab is composed of cabin (CAB) as passenger space and chassis frame. The upper 

body is equipped in the upper body frame on chassis frame. The motor company manufactures and sells chassis 

75

cab and upper body & upper body frame are manufactured by body builder company for manufacturing specially 

equipped vehicle. For selling chassis cab in European region, the motor company has to offer various design and 

manufacture condition to body builder company. This is called BBM (Body Builder Manual). 

In this study, the simulations are carried out under several loading conditions (Normal loads, Abuse loads, Special 

loads) in various specially equipped vehicles (Tail-Lift Box, Sidewards of Tipper, Backwards of Tipper vehicle etc.) 

for ensuring robustness of connection part of chassis cab and upper body of H350 vehicle exported firstly among 

commercial vehicle of Hyundai Motor Company. The simulation is performed in full car FE-model by replacing 

dynamic load with static load using contact condition and non-linear material property. And the structure adhesive 

is modeled into solid elements and connected with parent metal using tied contact in the FE-model. Also, the bolt 

looseness can be predicted by calculating axial and shear load in bolt connection part. It was able to secure stiffness 

and strength of connection part of chassis cab and upper body through this simulation process using Abaqus/ 

Standard, and optimize the position and number of the chassis bracket. 


I 

Evaluation of Tennis Racket Swing During Impact with a Tennis Ball 

Illinois Institute of Technology 

Roberto Cammino, Feijia Zhang, Junxiong Zhang 

This report analyzes the differences in the ball exit velocity (BEV) when a ball arriving at a given velocity is hit at 

different points on the string bed of a racket and describes the reaction force on the handle of the racket through the 

use of Dynamic Finite Element Simulations. The objective is to prove that the Finite Element Method can be used to 

determine optimal hitting points for rackets during a tennis match. Optimal hitting points are considered to be the 

ones producing the fastest BEV and lowest reaction force on the user’s hand. Eleven different spots were analyzed. 

The incoming ball velocity was assumed to be 40m/s and the racket rotational swing speed was assumed to be 0.05 

rad/ms. The results show that it is feasible to simulate the impact of a ball with a racket and determine stresses on 

the racket as well as the BEV and reaction force on the user’s hand using Dynamic Finite Elements and Abaqus/ 

Explicit. This work can be very insightful into using Finite Element Simulations to determine optimal racket swing 

speeds and ball hit positions for a tennis player to create optimal plays during a match. 


Evaluation of Brain Stresses during Car Crashes using the SAE Baja Racecar Test Vehicle 

Illinois Institute of Technology 

Xiaorui Shangguan, Haoyang Yan, Roberto Cammino, Aiman Shibli 

This report describes the result of a research project focused on driver's brain damage evaluation during front impact 

of the Baja SAE race car to a wall. Two kinds of situation were considered in this analysis: a driver with and without a 

seat belt. The goal of this project is to check the amount of stress absorbed by the brain during impact and evaluate 

the role of the seat belt during impact. The analysis consists of a dynamic simulation of an impact of a car frame 

on a wall by using Finite Element Analysis (FEA) method. Models were meshed by using HyperMesh (a FEA preprocessing 

software). After finishing modeling, results were calculated and analyzed by using the Abaqus/Explicit (a 

computer aided engineering program) explicit solver. Results include the stresses, energy, velocity, acceleration and 

displacements experienced by the following elements of our model: brain, neck, dummy body and car frame. The 

results obtained from the analysis were displayed through charts. 

Brand & Keywords: SIMULIA, Assemblies, Biological Modeling, CAD Integrated Analysis, Contact & Impact Mechanics, 

Design Optimization, Dynamics & Shock, Multi-body Dynamics and Systems Engineering, Optimization 


Intel 

Michael Moretti 

This is a high level introduction to Intel's view of HPC and the technologies that support it. Products including many 

core processors and our new OmniPath fabric. 

Brand & Keywords: SIMULIA, HPC 

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L 

Preparing for an App-Driven World in Scientific Informatics 

LabAnswer 

John Conway 

The convergence of science and information technology is an everyday occurrence in Research and Development. 

Using technology to give a better user experience and accelerate science outcomes is what drives us all. LabAnswer 

will present an overview of how we are helping customers and partners achieve this vision, utilizing innovative (and 

even disruptive) technologies. 

Brand: BIOVIA 

Quality Control of Pipe Lay and Riser Dynamic Analysis 

Lse Design Inc 

Luca Suschitz, Lee Taylor, Travis Matula 

The increasing frequency in the use of Engineering Criticality Assessments (ECA) to determine weld quality in the 

installation of offshore pipelines and risers has put an increased focus on the importance of accurate predictions in 

dynamic stresses during installation and service. Over-predictions impose constrains to the installation campaign 

with high cost and safety implications. The response predictions of a pipe profile suspended from a vessel in random 

sea state with environmental loading and interaction with the seabed is a complex nonlinear problem. From a 

dynamic structural in place perspective the pipe catenary presents a near continuous spectrum of frequencies and 

modes of vibration. This has important dynamic numerical and structural relevance, implying excellent resonance 

transmissibility for any input forcing oscillation frequency. The numerical work used to represent the physical 

structural system present a tendency to amplify its response. It is well diffuse in the analytical community that 

common dynamic software present unreasonable high dynamic amplification factors. This work proposes an Abaqus 

based approach to calibrate appropriate damping. Provisional the software implementation, it is clear that the 

generalized effective parasite forces acting in phase with the velocity of the structure is key to the ultimate response 

in the dynamic analysis. When a simple cantilever beam is left oscillating to rest after an initial deflection in water 

or air medium, many of the software would over predict largely the total number of oscillations. When a pipe was 

dropped to rest on the seabed many software unrealistically counted several bounces indicating not accurate pipe 

soil dynamic interaction set up. The methodologies and toos set forth in this work are extendable to a variety of 

mechanical subsea component. The predictions reflected a rigorous process involving several iterations to validate 

predictions with numerical work reflecting a true of pipe response. This paper has offered improvement the quality 

control methods used to debug dynamic lay predictions with a view to increasing Project offshore workability and 

ultimately Project profitability which is greatly needed to make deep water and offshore oil and gas cost competitive 

with lower cost onshore reserves. 

Brand & Keywords: SIMULIA, Assemblies, Contact & Impact Mechanics, Durability & Fatigue, Dynamics & Shock, 

Multi-body Dynamics and Systems Engineering, Simulation Lifecycle Management 

M 

Analysis of Clothing Pressure on the Human Body in Motion 

Mechanical Design & Analysis Corporation 

Takaya Kobayashi, Yasuko Mihara, Yumiko Isogai, Sonoko Ishimaru, Chisato Nonomura 

The comfort provided by clothes directly affects the human psychology as well as physiology in all environmental 

conditions. The primary elements that contribute to comfort include the temperature and humidity conditions inside 

the clothes, which are referred to as the micro-climate within clothing; the clothing pressure generated when the 

human body is pressed under clothes; and the feeling of clothing, which is largely influenced by fabric. Among these 

elements, the benefits of pressure from clothing are comfort, as well as improvements in exercise skills, reshaping of 

the body, and medical changes in the autonomic nervous and circulatory systems. 

In a previous study, the authors presented the development of knitted fabric models for finite element analysis to 

simulate the large deformation behavior of garments and clothing pressure distribution on the human body in a 

stationary position. For the modeling of cloth materials, two analytical approaches were investigated: a rebar layer 

model combined with isotropic hyperelastic shell elements and an anisotropic hyperelastic material model with a 

77

polyconvex strain energy function defined by the user subroutine UMAT. These material models were implemented 

in S4R, the four-node shell element of Abaqus/Standard. This paper describes an extension of the investigation to a 

study of the human body in motion. The study accomplished a fully automatic simulation of the clothing pressure 

change in T-shirts during jogging. The analysis technique is expected to be utilized in the development of a stabilized 

electrocardiographic measurement for a person during exercise. 


A Hyperelastic Visco-elasto-plastic Damage Model for Rubber Materials 

Mechanical Design & Analysis Corporation 

Kai Oide, Takaya Kobayashi, Junji Yoshida 

In designing a kinetic mechanism for modern complex structural members including a rubber device, it is of technical 

importance to improve its accuracy in predicting the inelastic cyclic behavior of rubber materials. A simple term like 

“dynamic spring constant" is no longer enough to describe advanced industrial applications. This paper describes 

our experimental investigations and numerical simulations of the dynamic characteristics of rubber materials. The 

experimental dynamic responses, with strain amplitude, temperature dependence, or frequency dependence, were 

provided by simple shear test specimens as well as automotive rubber bushings. The vibration test was performed 

by a shaking table with a sufficiently large load capacity for the frequency range of up to about several tens of 

Hz. Reflecting the experimental results, a combined visco-elasto-plastic and hyperelastic damage model was 

implemented in a user subroutine of UMAT in Abaqus, which enabled representations of the visco-elastic, elastoplastic, 

Mullins effect, and energy absorption performance of rubber materials. One of our aims is an application of 

the results of investigations by the material-modeling working group of JANCAE (Japan Association for Nonlinear 

CAE). The working group sprang from the idea of providing a multidisciplinary forum for rubber researchers, design 

engineers, and software engineers through the medium of advanced finite element codes, including Abaqus. This 

paper also briefly describes JANCAE activities. 

Brand & Keywords: SIMULIA, Material Modeling, Optimization 

Simulation of Caulking Process using Abaqus/Explicit 

Mercedes Benz Research and Development India 

Seshadri Vasudevan, Madhu Dama, Vijendra Sharma 

This paper showcases the capabilities of Abaqus/Explicit solver to simulate and solve problems involving huge plastic 

deformation due to caulking process. Caulking is a mechanical joining process achieved by plastically deforming a 

material in order to hold another material. This method is in research phase and being examined by engineers at 

Daimler and University of Erlangen-Nuremberg (Germany). This technique is mainly used in Permanent Magnet 

motors to hold the magnets in the rotor stacks. The process involves punching operation by a tool on the laminates 

to plastically deform them thereby locking the magnets in their position. The caulking operation was successfully 

simulated using Abaqus/Explicit for Required load cases. The objective of the simulation was to find optimum tool 

geometry, depth of tool penetration and location of penetration for caulking process. The optimal tool geometry & 

location is identified for positive locking of magnets in the rotor slots and optimum depth of penetration is decided 

based on stress in the magnet. It was observed that the Abaqus solver was more robust than LS-Dyna in terms of 

solvability and simulation time. The results were found closer to test data in terms of force achieved for optimal 

depth of caulking, stresses in the magnet and the displacement pattern in the laminates. The best combination of 

Tool profile, position and depth of caulking tool to lock the magnets in their position without damaging them was 

suggested to design team well in advance. This illustrates the effectiveness of numerical simulations, helping the 

designers in reducing the need for actual test bench with numerous high cost fabricated hardware setup and thereby 

saving huge R &D cost and time. 

Brand & Keywords: SIMULIA, Assemblies, CAD Integrated Analysis, Contact & Impact Mechanics, Design Optimization, 

Manufacturing 

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FEA Prediction of Off-Road Tire Temperature Distribution 

Missouri University of Science and Tech, Rolla, MO 

Wedam Nyaaba, Samuel Frimpong, Godfred Somua-Gyimah, Grzegorz Galecki 

Excessive heat generation and retention in dump truck tires is among the most common causes of tire removal 

in the surface mining industry. Accurate prediction of an operating tire temperature profile will involve the use 

of advanced numerical models and solution schemes to mimic the complete elastomeric materials response to 

operating conditions. The internally generated heat in a tire is a function of its viscoelastic energy dissipation during 

rolling. Previous research studies have inaccurately predicted off-the-road (OTR) tire heat generation rates and 

temperatures by the use of linear viscoelasticity to approximate the rather nonlinear viscoelastic rubber material. 

This paper presents an accurate approach to predicting OTR tire temperature distributions taking into account the 

true mechanical response of the filled rubber compounds used in tires. Rubber nonlinear viscoelasticity has been 

modeled using the recently implemented parallel rheological framework (PRF) in Abaqus. Stress relaxation test data 

for two regional compounds (tread and carcass) have been used to calibrate the PRF material model parameters 

using the data matching component of Isight. A fully coupled thermal-stress analysis procedure in Abaqus/Explicit 

was adopted to compare temperature distributions of a typical Michelin 59/80R63 tire modeled using two material 

models: (i) linear viscoelasticity, and (ii) nonlinear viscoelasticity. The results obtained show that tire temperature 

distributions are accurately predicted from the PRF material model. 

Brand & Keywords: SIMULIA, Tires 

Automated Framework to Predict Field Failure Rate for Handheld Electronic Devices 

Motorola Mobility LLC 

Manish Maheshwari 

Consumer handheld devices are constantly subject to mechanical abuse like everyday drops, scratches, bending, 

environmental and thermal exposure is to name a few. Most electronic device manufacturer try to estimate field 

failure rate (FFR) and warranty cost using accelerated life-cycle testing for most of the everyday abuse. However 

limited time and smaller sample sizes leave them with large statistical variation in failure counts and thus results in 

large variation in final estimates of FFR and warranty cost. Advancement in numerical simulations capabilities, speed 

and quality has helped replace most physical tests with mechanical simulations. Using the data from simulations 

can be used to predict FFR more accurately; however that requires large number of simulations to cover most of the 

variation in designs, and load variations. Author has developed an automated framework using Isight and python 

scripts that can design the load cases, submit simulations with design and load variations, collect results from 

simulation result files and run the statistical analysis to produce FFR for specified component for given load cases. 

Brand & Keywords: SIMULIA, statistical probability, field-failure-rate, FFR, accelerated-life-cycle test, ALT, consumer 

electronics, cell-phones, LCD, OLED, display, brittle failure, Isight, Python, automation, statistics 

N 

Analysis of 3D Steel Concrete Composite Buildings using Abaqus 

National University of Singapore 

Jeyarajan Selvarajah, J Y Richard Liew 

Research on progressive collapse analyses of steel-concrete composite building structures has been performed 

over the last two decades with few simplifications in composite building frame components. This is because the 

detailed modeling of the nonlinear behavior of steel-concrete composite slabs and joints is rather tedious and involves 

interaction between floor beams, slab and beam-to-column joint behavior. Past research on progressive collapse 

analysis of building frames has reported that full three-dimensional (3D) building frame analysis is computationally 

expensive and consumes substantial computational resources in order to predict the non-linear dynamic response of 

buildings. Although well-calibrated simplified plane frame models can be relied upon to model progressive collapse, 

the results obtained from plane (2D) frame analyses may not be conservative. The main objective of this research 

study is to develop efficient computational models using Abaqus to capture the behaviors of steel-concrete composite 

building structures subject to extreme load. The proposed composite slab model avoids complex geometric modeling 

of metal deck profile, concrete profile and shear stud, and it requires less computational time for analyzing large 

building framework. The proposed joint model using Eurocodes avoids detailed finite element modeling of joint 

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components such as bolts, gap, bolt-hole size, plates, etc., to improve the computational efficiency of analyzing 

large three-dimensional (3D) building frames. The incorporation of semi-rigid joints and composite slabs in 3D frame 

analysis tends to produce more realistic estimate of frame behavior compared to model using pin or rigid joints or 

skeleton frame. 

Then, using the proposed numerical models, variety of moment and simple braced frames were investigated using 

conventional alternate path approach and direct blast analysis to evaluate their progressive collapse resistance. 

Abaqus shall be adopted by researchers and practicing engineers to investigate the real response of 3D building 

frame. 

Brand & Keywords: SIMULIA, Buckling & Collapse 

Modeling of Wave Propagation Through Soft Electrically Tunable Metamaterials 

Naval Undersea Warfare Center 

Michael Jandron, David Henann 

This talk will present numerical simulation capability, developed within the Abaqus/Standard environment, for 

modeling steady-state wave propagation through soft dielectric elastomer composites. Specifically, the discussion 

will include (a) a nonlinear user-element subroutine (UEL) to simulate the coupled electric-displacement response 

of these soft materials, (b) a user MPC subroutine to enforce complex-valued Bloch-Floquet constraints, as well as 

to impose appropriate updated Lagrangian boundary conditions on the representative volume element (RVE), and 

(c) a method within the UEL to lower the dispersion error in the solution by modifying the mass matrix. Through 

the combination of these methods, it is possible to study how the application of an electric field to these materials 

results in opening and closing of phononic band-gaps, that is, frequency ranges in which propagating waves through 

the dielectric elastomer composite are not permitted. This modeling framework is useful to guide the development 

phononic metamaterials that cannot be analyzed analytically and leverages the computational backbone of Abaqus/ 

Standard, which enhances portability and maintainability of our modeling approach. We envision using these 

electrically-tunable phononic metamaterials to provide vibration isolation for undersea structures. This work is 

supported through the Naval Undersea Warfare Center In-house Laboratory Independent Research (ILIR) program. 

Brand & Keywords: SIMULIA, Dynamics & Shock, Material Modeling, Noise, Vibration & Acoustics 

O 

Topology Optimization of a Lacrosse Head 

Optimal Device 

Rob Stupplebeen 

Like many industries the balance between cost, stiffness, strength and weight is critical in sports equipment. This 

study goes through the methodology to perform topology optimization with CATIA (CAD), Abaqus (FEA), Tosca 

(Topology Optimization) and Simpoe (Injection Molding). Topology optimization evolves the geometry to remove 

unneeded material effectively minimizing weight and maximizing performance. This is carried out by automatically 

scaling individual element's density and stiffness based on the stress state of the previous simulation. This is an 

iterative process where material flows to regions to satisfy constraints and minimize the objective function. 

Brand & Keywords: SIMULIA, Composites, Contact & Impact Mechanics, Design Optimization, Manufacturing, 

Material Modeling, Optimization, Process Automation 

P 

Reservoir Driven Production Risk Management for Oil & Gas Operations 

Paradigm Geophysical 

Indy Chakrabarti 

Reservoir Driven Production Risk Management (RD PRM) is a new combined software and services offering now 

available through a partnership between Dassault Systémes and Paradigm Software. RD-PRM helps customers 

understand how their reservoir changes over time by integrating advanced rock, fluid and stress characterization. The 

solution focuses on the following key challenges: Optimize Completion Strategies in Unconventionals: With falling rig 

counts and a growing backlog of drilled, but not yet completed wells (DUC) in shale plays, operators are increasingly 

focused on identifying the best strategies for refracking existing wells or building more optimal fracking strategies 

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for DUCs. The offering will help operators identify these strategies as part of their completion plans. Anticipate Fault- 

Reactivation: Producing hydrocarbons from highly stressed faulted reservoirs either through primary depletion or 

enhanced recovery production can result in unanticipated fault reactivation, leading to potential material impacts, loss 

of production and possibly the reservoir itself. By integrating a high fidelity geological model with state-of-the-art 

geomechanical simulation, customers can optimally manage their reservoir and control production risks. 

Brand & Keywords: SIMULIA 

Use of Agile Methodologies to Accelerate BIOVIA LES Implementation 

Perrigo 

David Redding 

For organizations with large product portfolios, the ability to efficiently expand the use of LES to new products is 

essential for maximizing the benefits of the system. But balancing new product implementation with on-going 

support is challenging for a single support team. Come see how Perrigo addresses this problem while also decreasing 

errors and improving user satisfaction. 

Brand: BIOVIA 

A Computational Tool-Box for Pharmaceutical Chemical Development and Analytical Chemistry 

Scientist 

Pfizer 

Yuri Abramov 

State-of-the art computational approaches were created, based on Pipeline Pilot Web Port architecture, to support 

process and analytical chemistry development in the pharmaceutical industry. These computational chemistry tools 

include multiple approaches related to reactivity and free energy of reaction prediction to guide chemistry route 

analysis and selection problems. The analytical tools allow prediction and interpretation of IR, Raman, NMR, VCD, 

and UV spectra. Selected applications of these computational tools will be presented. 

Brand: BIOVIA 

Further Extending Pipeline Pilot in BIOVIA Workbook: Beyond Toolbar Buttons and the Analyze Tab 

Pfizer 

Marty Berliner 

The integration of Pipeline Pilot and Workbook brought significant potential to link the powerful aggregation and 

analytics capabilities of Pipeline Pilot with the data rich environment of Workbook. However, we found it difficult 

to immediately realize this potential and spent several years trying to understand the best way to deploy protocol 

functionality in Workbook. In this talk, I will describe two significant enhancements in our use of PP in Workbook: 

the development of a simple workbook extension that allows for the trivial use of protocols in any experiment script, 

and a PP-hosted AJAX web app for compliance reporting. 

Brand: BIOVIA 

Using Pipeline Pilot to Drive Large Scale Visualizations in DXP Using Information Link 

Pfizer 

Jackie Klug-McLeod 

The use of on-demand information links, database connections that respond to user, column, or selection-based 

input, and custom on-the-fly merging of data from multiple sources has enabled visualization and analysis of multiple 

types of cross-project data of interest to project teams. At Pfizer, we have developed processes to exploit the use of 

information links by building infrastructure in Pipeline Pilot to create database tables. A background of the processes 

will be presented and through short descriptions and examples of project impact, we will introduce multiple tools 

that rely on this data structure. One such tool will describe the Kinase DXP Viewer (KDV), a tool for visualizing kinase 

screening panel data that allows for complex sequence based analysis, through an example from a recent project. 

Brand: BIOVIA 

81

Lead Optimization Through Rapid Estimation of Relative Binding Affinities: 

Multiple Gene Family Evaluation 

Pfizer 

Sirish Kaushik Lakkaraju 

Rapid estimation of relative ligand affinities offers the potential to allow computational methods to direct ligand 

design and development. Towards this goal we have developed two methods based on pre-computed ensembles; 

Site Identification by Ligand Competitive Saturation (SILCS) and Single-Step Free Energy Perturbation (SSFEP). SILCS 

is based on computational functional group affinity mapping (FragMaps) of proteins using MD simulations that 

take into account contributions from protein desolvation, functional group desolvation, protein flexibility as well 

as direct functional group-protein interactions. Boltzmann transformation yields Grid Free Energy (GFE) FragMaps 

that may be used both qualitatively and quantitatively to direct ligand design, including in deep and occluded 

pockets using an oscillating µex Grand Canonical Monte Carlo (GCMC) approach. In SSFEP a lead compound-protein 

complex is subjected to MD simulations from which an ensemble of ligand-protein conformations is obtained. Similar 

calculations are done on the ligand in solution. Free energy differences associated with small ligand modifications of 

the lead compound may then be evaluated using the free energy perturbation formulation in the context of single step 

perturbations. Both SILCS and SSFEP allow for rapid scoring of thousands of transformations on a daily time frame 

offering the potential to identify synthetically accessible ligands thereby facilitating decisions concerning compounds 

for synthesis and testing. An overview of the SSFEP and SILCS methodology will be presented along with summarized 

results for kinase, protease, nuclear hormone receptor, bromodomain, and methyl transferase gene families. 

Brand: BIOVIA 

Auto-generating Components to Access Services with Patterns 

Pfizer 

Steven Rieth 

A series of Pipeline Pilot utilities to automate tasks associated with our Any Assay Anywhere (AAA) initiative required 

access to the underlying AAA RESTful services. Currently, there are over 130 service calls, not including variations 

for GET, PUT, POST and DELETE, with more coming as more functionality is implemented. Creating components for 

each of these would take too much time, so framework (probably breaking most of BIOVIA's best practices) was built 

to programmatically generate components based on patterns of these services. This talk will provide an overview of 

this process, pros and cons, as well as future enhancements. 

Brand: BIOVIA 

Usage of an Inventory Management and Laboratory Execution System at PPD Lab Operations 

PPD 

Jennifer McClung 

PPD is using inventory management systems from BIOVIA to track reference standards and critical reagents as well 

as instruments consumables in addition to the Laboratory Execution System (BIOVIA LES, formerly SmartLab). The 

presentation will discuss the application and usage of BIOVIA CisPro and IM (Inventory Management), how PPD 

moved from traditional method building to an Electronic Bench Sheet (ELB) format and the benefits expected of an 

integration with the LES in a GLP environment. 

Brand: BIOVIA 

Virtual Modeling's Role in Improving Impact Performance of Plastic Containers 

Plastic Technologies, Inc. 

Sumit Mukherjee 

The packaging industry is on the brink of process changes including manufacturing, materials and their applications. 

New concepts are being born via computer screens and virtually nurtured to create commercially-viable packages. 

This is taking place before ever touching the mold, creating an actual package or conducting a physical test. It’s 

important to understand various aspects of processing, material properties, package design, product characteristics, 

as well as specifications and performance parameters that need to be met. Design guidelines have matured to the 

point where “moldable” geometry is part of the CAD software intelligent database. This helps take concepts, convert 

them to viable production ready designs and provide a degree of confidence that the package can be manufactured. 

However, the output from this stage does not tell us whether or not a specific performance characteristic, such as 

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improving the drop impact performance, has been achieved. This is where the second component of virtual modeling 

comes into play. The intricate CAD geometry can be manipulated to add further definition regarding thickness and 

material properties. 

This presentation focuses on interplay between design and material distribution to help improve container 

performance. Extrusion blow molded containers derive their thickness distribution from the parison shape which is the 

precursor to the blown bottle. Challenges exist with ideal thickness distribution (economics vs. optimal performance) 

hence filling; packing and distribution studies need to be undertaken using simulation techniques. They can predict 

whether or not the part can be blown with optimal thickness distribution and geometry that will help, for example, 

absorb the resulting stress after being dropped without rupturing. 

Brand & Keywords: SIMULIA, CAD Integrated Analysis, Design Optimization, Material Modeling, Optimization, 

Packaging Performance Simulation, CPG Drop Testing 

Optimised Design of Foundations for Wind Turbine Towers 

Principia 

Javier Rodriguez, Luis Lacoma, Francisco Martinez, Joaquin Marti 

Environmental, political, and other considerations are leading to the installation of growing numbers of wind turbines 

for electricity generation. This paper concentrates on onshore installations, in which the turbine is at the end of a 

tower founded on the ground. Problems in the foundation or its connection to the tower may entail a global failure. 

A worrying percentage of the towers built before 2010 is ill designed, often with obvious manifestations. On the 

other hand new designs attempt to optimize material quantities and costs while providing an adequate response. 

Principia has gathered considerable experience in both the identification and remediation of the problems of older 

foundations and the optimization of new designs. The paper sets the key considerations to be kept in mind when 

conceiving those structures. It also illustrates with real examples the shortcomings of some foundations, describing 

their remediation measures, and the aspects that govern the foundation with a view to its optimization. The problem 

is particularly suitable for numerical simulations with Abaqus and this paper provides the necessary concepts and 

methodological approach. More specifically, the concrete geometry is meshed with solid elements. Surface elements 

including rebar layers are embedded. Other parts like the steel cylinder, welded studs, anchorage bars, etc. are also 

included. The concrete behavior is described with the concrete damaged plasticity model. Explicit integration is used 

because of the strong nonlinearities caused by concrete cracking and crushing. The methodology allows assessing 

the suitability of the design for ultimate, serviceability and fatigue limit states. 

Brand & Keywords: SIMULIA, Buckling & Collapse, Material Modeling 

Deployment of Pipeline Pilot Protocols within the V+R System of Record 

Procter & Gamble Company 

Kip Shaffer 

Abstract: Procter & Gamble has embarked on a journey with Dassault Systemes to create a single platform for 

model deployment, reuse and retention across all of our Modeling & Simulation needs. Within this journey, we are 

establishing on SIMULIA’s V+R Process Applications as our foundational platform for simulation process and data 

management. Formulated product modelers have been using the built-in functionality of BIOVIA’s Pipeline Pilot in 

their modeling efforts to develop protocols. We have developed a methodology to enable model developers to easily 

deploy their Pipeline Pilot protocols within the V+R system of record. The combined system gives them a secure, 

robust system where formulators can execute these models, have their results permanently recorded, and linked to 

the larger innovation process. 

Brand: BIOVIA 

Understanding Molecular Sieve Structures by Combining Experimental and 

Simulated Molecular Spectra 

PQ Corp 

Istvan Halasz 

About 90% of all chemical products is affected by catalysis. The active ingredient in more than 50% of the 

heterogeneous catalysts is one or more microporous molecular sieve. Their delicate structural details determine 

catalyst activity and selectivity, which are therefore routinely characterized by IR, Raman, UV or other molecular 

spectroscopic techniques. Sometimes we observe unexpected phenomena during these studies, which point at novel 

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structural aspects with various speculative options. In this presentation I will show a few examples how molecular 

modeling could help in deciding which speculation had realistic basis on some widely employed novel industrial 

catalysts. 

Brand: BIOVIA 

Simulating Plastic & Rubber: time, temperature & large deformation 

Psylotech 

Alex Arzoumanidis 

Plastic & rubber are notoriously difficult to simulate, because their so-called viscoelastic properties change with 

time. Their mechanical response depends on loading history. High strain rates stiffen modulus. Step loads relax 

in time. Environment also affects viscoelasticity. Temperature softens modulus, while pressure increases it. To 

complicate matters, hysteresis from cyclic loading generates heat, increasing temperature, potentially weakening 

the material. An entropy-based, reduced time, nonlinear viscoelastic model is presented. Similar to time-temperature 

superposition, VISCA is a sort of time-entropy superposition. Environmental and large strain effects on entropy 

reduce time through a horizontal shifting factor. Tracking entropy at each time step, VISCA also couples mechanical 

loading to heat generation. As such, implementing this Abaqus add-on module requires both mechanical and thermal 

boundary conditions. VISCA is well grounded in the technical literature. It is the evolution of Knauss & Emri’s Free 

Volume model (1981) as modified for shear by Popelar & Liechti (1997). VISCA replaces Free Volume with Entropy 

sub-states, correcting Free Volume's limitations while retaining its strengths. VISCA requires only two experiments 

to predict any strain history and any temperature history. The first is a large strain ramp load/unload/load to failure 

experiment, used to obtain certain nonlinear model parameters. The second is a novel technique to measure the full 

viscoelastic stiffness matrix. Post-processing this dynamic mechanical analysis produces time domain bulk and shear 

curves at any temperature. 

Brand & Keywords: SIMULIA, Plastic, Rubber, Viscoelastic, Deformation 

Stiffness Mapping in Biological Materials Based on MRI Imaging and Topology Optimization 

Purdue University 

Luyao Cai, Claus Pedersen, Ross McLendon, Manuel Biedermann, Gergana Dimitrova, Jiang Yao, 

Magnetic resonance imaging (MRI) is a preeminent technology to visualize the internal tissue structure, in addition 

to other physical phenomena like flow and diffusion. One specialized MRI technique, termed displacements 

under applied loading by MRI (dualMRI), was developed to measure displacements and strain in musculoskeletal 

tissues, hydrogels, and engineered constructs. However, deformation information does not directly describe spatial 

distributions of tissue stiffness, which is critical to the understanding of disease progression. In order to achieve 

this goal, we proposed an inverse modeling approach based on Tosca and Abaqus to map the internal stiffness 

nondestructively from image-based displacements measured in different biological constructs. In this study, the 

inverse simulation was validated on displacements results derived from forward simulations where materials 

properties and boundary conditions were known. With different level of noise added, the error associated with the 

relative stiffness mapping technique was studied and the optimized smoothing technique was chosen. To analyze 

the effects of each parameters in the inverse modeling process, sensitivity analysis was done using Cotter's method. 

Additionally, experimental data from bi-layered agarose gel under different loading conditions were modeled, with 

plane stress assumption in two dimensions. The significance and potential of this approach was highlighted for the 

description of tissue degeneration, repair, and complex material properties. 


Q 

Ductile Tearing Instability Assessment of a Cracked Reactor Pressure Vessel Nozzle for Larger Critical 

Crack Size Compared to the FAD Method 


Greg Thorwald, Joyce Wright 

The objective of this paper is to evaluate a cracked nozzle in a reactor pressure vessel using a ductile tearing instability 

assessment. A material resistance J-R curve and elastic-plastic finite element analyses (FEA) are used to evaluate 

crack stability and obtain a critical crack size. The expectation is that the critical crack size will be larger from the 

tearing instability assessment compared to a typical Failure Assessment Diagram (FAD) assessment, since the rising 

84

J-R curve gives higher toughness as stable tearing occurs. Both the tearing resistance and FAD assessments are 

described in the engineering best practice standard API 579-1/ASME FFS-1. A reactor vessel nozzle geometry with 

a postulated surface crack is used as an example to examine the analysis details and common difficulties encountered 

when creating the crack model, obtaining the necessary elastic-plastic FEA convergence using Abaqus/Standard to 

compute the J-integral values, and determining the tearing stability point. The non-dimensional tearing modulus 

plot provides a definite identification of the stability point, which leads to the critical crack size. The reason for easier 

elastic-plastic convergence for a tearing stability assessment than for an FAD assessment is discussed. Engineers 

using Abaqus benefit from elastic-plastic FEA of 3D crack meshes by computing the J-integral values needed to 

assess cracked structural components. When a J-R resistance curve is available, a ductile tearing assessment can 

provide a larger critical flaw size, which could justify reducing or delaying inspections, and could allow for a longer 

service life in cyclic fatigue before repair or replacement is needed. 

Brand & Keywords: SIMULIA, Durability & Fatigue, Material Modeling 

Fracture Mechanics and 3D Crack Mesh Analysis Software. Assessing damaged structures relies on 

fracture mechanics procedures in engineering standards and frequently finite element analysis 


Greg Thorwald 

The variety of damage conditions and complexity of some assessment procedures can make even a basic assessment 

tedious and impractical. SignalTM Fitness-for-Service from Quest Integrity covers procedures in the current API 

579/ASME FFS 1 standard and evaluates a variety of damage: metal loss, pitting, and cracking. Crack-like flaws 

can be evaluated using the Failure Assessment Diagram, parametric, and Monte-Carlo methods to obtain limiting 

crack sizes and limiting load cases. Growing cracks can be evaluated using fatigue and/or creep analysis. Stress 

profiles from Abaqus FEA can be used as the loading input. For a more detailed cracking analysis, crack meshes with 

a range of crack sizes are usually needed. However, generating crack meshes in complicated geometries may take 

too much time to be practical, so detailed fracture and/or fatigue crack growth analyses are not always conducted. 

FEACrackTM helps engineers generate crack meshes and ready-to-run Abaqus input files quickly and easily, even in 

complicated structures, to compute the stress intensity and J-integral along the crack front. A user-defined geometry 

method generates 3D crack meshes in arbitrary volumes, and the fatigue crack growth module, which can be used 

with Abaqus sub-modeling, uses a re-meshing method to update the crack size for each increment of growth. Using 

Signal FFS and FEACrack allow asset operators to determine the condition of damaged structures with precision and 

make confident asset management decisions. Engineers benefit from improved solution accuracy and better crack 

assessments. 

Brand & Keywords: SIMULIA, Crack, Failure Assessment Diagram, Monte-Carlo Methods, Fatigue Analysis, Creep Anaylsis 

R 

Exploring the Synergies Between Discoverant and Pipeline Pilot – Templated Reporting 

Regeneron 

Victor Shashilov 

Do you create weekly reports? Or maybe you are responsible for monthly or annual reports like APRs or PQRs. 

Do you spend most of your time gathering the data, analysis, or charts for these reports? This talk will show 

how you can use Pipeline Pilot and Discoverant to automatically generate templated reports. We will demonstrate 

how Discoverant can gather your data, perform the analysis, and provide the charts to Pipeline Pilot. We will also 

demonstrate how Pipeline Pilot can work with Discoverant to generate your templated report. 

Brand: BIOVIA 

The ELN Selection Process 

RJ Reynolds 

Sheila Davis and Allison Joyce 

From idea to production, how the notebook was selected and the driving features in our selection process at RJ Reynolds. 

Brand: BIOVIA 

85

Design and Test of a Canard for a Missile 

Roketsan Missile Ind. 

Ali Yetgin, Bulent Acar 

Canards are frequently used control surfaces to steer missiles in the air. They are positioned at relatively forward 

sections of the body. Considering the mechanical and thermal loadings during the flight of a missile, design of a 

canard is a challenging process. Guidance of the missile to its target relies on these control surfaces. In case of a 

malfunction or damage on the structure of it, missile cannot fulfill its mission. Therefore they are crucial components 

and on critical design path. Canard system which consists of aerodynamic control surface and a rotating base must 

withstand aerodynamic loadings and rotate within predefined angles to produce steering action. Necessary rotation 

movement may be provided by mechanical or hydraulic actuators. In this study, canard body and its connection 

to rotating base were modelled in Abaqus/CAE. Detailed finite element model of bolted connection was created 

and thermo mechanical strength analyses were performed. Different bolt configurations and loading varieties were 

analyzed in order to ensure adequacy of the design. Safety of the system was calculated against applied aerodynamic 

pressure and thermal loadings. Experimental study was conducted in order to obtain ultimate loading of the system. 

Finally analyses were verified using various measurements during tests such as strain and displacement. At the end 

of study a good correlation was obtained between analysis and test results. 

Brand & Keywords: SIMULIA, Assemblies, Contact & Impact Mechanics, Manufacturing 

S 

ASME Cyclic Creep Evaluation of Critical Piping Component using CREEP Subroutine 

and ORNL Test Data 

Saba Metallurgical and Plant Engineering Services, LLC 

Brent Saba 

A critical piping component was to be exposed to a new cyclic operation, where parts of the new cycle would exist in 

the creep regime for the Alloy 800-H(T) material. FEA using Abaqus was employed to determine the expected safe 

life of this component due to the combined effects of fatigue cycles and creep. Providing accurate modeling of the 

creep process of the Alloy 800-H(T) was crucial to obtaining reliable equipment life prediction. Therefore, raw test 

data and curve fitting data for 800-H material from Oak Ridge National Laboratory (ORNL), covering a wide range 

of plate thicknesses, applied loads, and duration, was used to develop a CREEP Subroutine. An elastic-plastic-creep 

multi-cycle simulation was created, using this CREEP subroutine. Evaluation of this cycle simulation was based on 

ASME Section III-NH (High Temperature Nuclear Code) Rules. Low cycle fatigue is based on maximum strain range 

and Code fatigue curves. Extent of creep is determined using an averaged maximum equivalent stress with relation 

to Code creep time-to-rupture stress values. Creep fatigue interaction is based on Code Damage Equation and a 

Code designated total creep-fatigue damage degradation factor. The creep contribution was determined to be nil, 

only adding its effect to the degradation factor. The number of cycles was determined to be acceptable for a life 

of 25-years based on the current number expected cycles per year. This piping component has been installed and 

operating for nearly three years. Recent inspection revealed no adverse conditions. Previously unavailable, the client 

now has reliable data. 

Brand & Keywords: SIMULIA, Durability & Fatigue, Material Modeling 

A Finite Element Model of the Intervertebral Disc 

Saint Louis University 

Sheila Buswell, Gary Bledsoe, Scott Sell, Natasha Case 

Intervertebral Disc (IVD) Degeneration causes pain and movement restrictions in the majority (60%) of people during 

their lifetimes. The development of approaches for IVD arthroplasty is hindered by the insufficient understanding 

of the load requirements and the material properties of the IVD. Computational modeling is one approach that can 

be used to explore connections between IVD loading, properties, and disc degeneration. However, computational 

approaches utilize a finite element model (FE) that oversimplifies the construction of the IVD. The annulus fibrosis 

(AF) is often modeled as an isotropic material with consistent material properties throughout. Computer models of 

the IVD are typically validated against mechanical testing of isolated vertebral segments. The aim of this study was 

to develop an FE model of the IVD that replicated the in vivo failure modes experienced clinically. The model created 

in this study utilized four distinct materials - the cartilaginous end plate (CEP), Nucleus Pulposus (NP), and two 

distinct layers of the Annulus Fibrosis (AF) - to represent the constituents of the IVD. The geometry of the model 

86

was based on average dimensions provided by computerized axial tomography. Material properties were assigned 

to each component based on published values from the literature. The model was validated by comparison to force/ 

displacement data from mechanical testing. The SOLIDWORKS FEA Model was validated by an Abaqus static FEA. 



SGI 

Scott Shaw 

SGI is focused on helping Simulia customers solve their most demanding challenges by delivering high performance 

computing, server, storage, data management solutions. SGI develops, markets and sells a broad line of low-cost, 

mid-range and high-end scale-out and scale-up servers and data storage solutions, as well as differentiating software 

solutions on SGI platforms. In the HPC industry SGI is recognized as a trusted leader in technical computing and has 

over 25 year partnership with SIMULIA and with Abaqus FEA customers. The SGI presentation is intended to help 

Abaqus customers make knowledgeable choices in regards to selecting high-performance computing (HPC) hardware 

to optimally run Abaqus FEA software from the SIMULIA brand of Dassault Systèmes. SGI provides a traditional 

approach using distributive cluster solutions in addition to Hybrid DMP/SMP on SGI UV systems, GPU Clusters, and 

SGI Remote Visualization. 

Brand & Keywords: SIMULIA, HPC, Storage, Data Management 

Simpleware and Abaqus: Doing More With 3D Image Data and Simulation 

Simpleware 

Kerim Genc 

Simpleware provides software and services for converting 3D image data (such as MRI or CT) into models suitable 

for CAD, CAE and 3D printing. Simpleware has well-established software solutions for Abaqus users wanting to 

connect 3D scans with simulations in applications such as the Life Sciences, Materials Science, Rock Physics and 

Non-Destructive Testing. The integration solution provided by Simpleware for Abaqus users is particularly notable 

for solving problems associated with processing 3D image data prior to simulation; this includes capabilities for 

image reconstruction, measurement and quantification, as well as CAD integration with image data and calculation 

of effective material properties. As well as robust surface exports, Simpleware offers dedicated volume mesh 

exports for FEA/CFD in Abaqus. The Simpleware and Abaqus solution has been used for many years for workflows 

involving complex anatomical data obtained from scans, for example when analysing the relationship between the 

body and CAD-designed implants. However, the compatibility between the software has also opened up imagebased 

simulation to areas such as the modelling of material and rock samples, components and workflows involving 

automotive and aerospace parts. New developments in 3D printing similarly mean that scanned objects can be 

processed in Simpleware software before simulating typical stresses in Abaqus. These workflows can also be used to 

compare simulations as designed and as manufactured, creating many opportunities for comprehensive analysis of 

image data. Examples will be given of these different applications, including recent cases of Simpleware being used 

with Abaqus for Life Sciences, Materials and Industrial applications. 

Brand & Keywords: SIMULIA, Scan to Mesh, 3D image, 3D scan 

Design Analysis & Validation For SOLIDWORKS 3DEXPERIENCE 

SOLIDWORKS 

SOLIDWORKS 3DEXPERIENCE delivers robust powerful structural analysis tools for the designer. This presentation 

will review the tool and applications within the SOLIDWORKS 3DEXPERIENCE ecosystem. 

Brand: SOLIDWORKS 

Design Guidance with Voxel Structural Analysis 

SOLIDWORKS 

From before the first sketch is created SOLIDWORKS delivers technology that guides the user in design based upon 

structural requirements. This presentation will review the new voxel based design guidance tool that will be part of 

the new design tool Xdesign. 


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Science Driven Design the SOLIDWORKS Way 

SOLIDWORKS 

SOLIDWORKS is enabling our users to incorporate motion analysis from the very first sketch, through to final product 

validation to ensure product performance. This presentation will review the technologies available to our users within 

the SOLIDWORKS ecosystem from linkage synthesis to traditional motion analysis tools. 


Developing Useful Models for Mining-Related Research Projects: A Bottom-Up Approach 

Solvay 

Andrew Jackson 

Business units in Solvay’s Technology Solutions share common themes and it is advantageous to consider how 

modeling can be broadly applied to projects across the organization. Some frequent concerns in our research include: 

• Adsorption energies of small molecules to surfaces 

• Crystal growth modification 

• Flotation reagents for efficient mineral processing 

• Solubility constants and partition coefficients in highly caustic regimes 

• Binding energies of small molecules to metal ions (using both QM and MM) 

• Interfacial phenomena (oil/water) 

This presentation will focus on crystal growth modification of gypsum as a way to improve the filtration step in 

production of phosphoric acid. 

Brand: BIOVIA 

Combining Quantum Chemical Calculations with Vibrational Spectroscopies for Understanding 

Reaction Mechanisms on Catalytic Surfaces 

Stevens Institute of Technology 

Simon Podkolzin 

Heterogeneous catalysis is a critical component in the improvement of existing technologies and development of new 

solutions in the chemical, petroleum, pharmaceutical and other industries. Combining quantum chemical calculations 

with vibrational spectroscopies can provide molecular-level information on the structure of catalytic surfaces and 

reaction pathways. The methodology will be illustrated with DFT calculations using DMol3 in Materials Studio and 

experimental measurements using infrared, Raman and high resolution electron energy loss spectroscopies as well 

as reaction kinetic measurements. 

Brand: BIOVIA 


Stratasys 

Peter Secor 

Stratasys manufactures 3D printing equipment and materials that create physical objects directly from digital 

data. Its systems range from affordable desktop 3D printers to large, advanced 3D production systems. Additive 

manufacturing technologies include FDM and PolyJet. Stratasys is the leader in developing versatile tools for 

innovative applications. This presentation will deliver an overview of the Additive Manufacturing /3D Printing 

Market and it’s evolution- exploring the solutions and benefits realized by using these tools in manufacturing, 

entertainment, education, dental, automotive, aerospace and more. 

Brand & Keywords: SIMULIA, 3D Printing, Additive Manufacturing 

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T 

Using Insight for Excel as a General Query Tool 

Takeda 

Gabriel Weatherhead 

Takeda Boston replaced Accord for Excel and delivered more than simple spreadsheet tools. The Pipeline Pilot 

integration with Insight for Excel provided a whole new model for delivering the solutions scientists want right in 

the tool they use the most. From basic real-time calculations to database lookups and structure formatting, Insight 

for Excel is a worthy successor to Accord for Excel. This talk will discuss the planning and execution of an Insight for 

Excel roll-out. 

Brand: BIOVIA 

Model Order Reduction Methods for Explicit FEM 

Technische Universität München - Fachgebiet Computational Mechanics 

Ali Cagatay Cobanoglua, Simon Mößnera, Majid Hojjatb and Fabian Duddecka 

Abaqus/Explicit is a well established and widely used FEM solver for crash and pedes-trian safety simulations. 

However, due to the large number of degrees of freedom, simulation time is still a limiting factor especially in 

context of structural optimization. In typical crash simulations, a large portion of the model undergoes only elastic 

deformation. Hence, model order reduction (MOR) methods can bring a significant decrease in the computational 

time. While Abaqus/Standard already offers several reduction methods, MOR is currently not applicable for Abaqus/ 

Explicit. The purpose of this work is to enable MOR for explicit finite element models by use of superelements. 

Reduced mass- and stiffness matrices are generated by Abaqus/Standard and transferred to the explicit solver 

through a VUEL-subroutine. The method is applied successfully to low speed vehicle crash simulations. The achieved 

results show a significant gain in computational time and underline the potential of MOR for Abaqus/Explicit. 

Brand & Keywords: SIMULIA, Design Optimization, Optimization 

Abaqus Scalability for Small and Medium Size Problems 

TEN TECH LLC 

William Villers 

We will present and discuss the benefits of multi-CPU and GPU computing with real life application and comparative 

results. While preparing an Abaqus pricing configuration for a customer, we wanted to have a clear view of how 

much benefit GPU Computing in Abaqus 2016 would bring. The goal of the study was to make sure we delivered 

the best bang for the buck in terms of solver execution speed to the customer. Unlike a lot of the benchmark data 

published using enormous dynamics models, it was desired to create a more \down-to-earth\ one that would be 

more representative of what customers could use Abaqus for. These published benchmarks are a great illustration 

of the incredible scalability of Abaqus but is anything gained if there is not a 40M dof model with 2500 modes to 

calculate? A relatively small model (3M dof) was put together and tested with both linear statics and non-linear 

statics analysis with Abaqus 2016. 

Brand & Keywords: SIMULIA, Cloud Computing, Contact & Impact Mechanics, Noise, Vibration & Acoustics 

Numerical and Experimental Study on the High Strain Rate Deformation of Tubes for Perforating Gun 

Applications 

Tenaris Dalmine SpA 

Davide Gallina, Mihaela Eliza Cristea, Riccardo Cavallet 

The perforating guns are systems subjected to intense, impulsive pressure loading resulting from the detonation 

of shaped charges loaded in the inner pipe. Upon detonation, the charges are responsible for different significant 

damaging loading mechanisms such as during jet perforation, case fragment impact and explosive blast. It is usually 

desired that a gun carrier tube survives the perforation event without excessive swelling, cracking, catastrophic 

rupturing (i.e. splitting) or fragmentation. Its survivability is a major consideration in perforating system design and 

manufacture. In this work, a numerical-experimental study aims to better understand the loading rate and damage 

mechanisms involved on the carried tube, as well as the local deformation response of the full scale component when 

loaded under real loads are presented. The numerical model is based on a multiple (three) shape charges analysis 

fed by real tube and shape charges geometries as well as carrier tube material curve at high strain rate similar to the 

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eal event. An explicit multi-material Coupled Eulerian-Lagrangian (CEL) model that simulates the sequential shaped 

charges detonation has been developed, the results in terms of local deformation of carrier tube has been then 

compared with experimental data obtained from instrumented full scale tests. 

Brand & Keywords: SIMULIA, Assemblies, Contact & Impact Mechanics, Dynamics & Shock, Material Modeling 

The Journey to Meet P&G's Needs for Democratizing and Managing Simulation via the 3DEXPERIENCE 

V+R Process Applications 


Krista Comstock 

Modeling and Simulation is a key enabler for driving Procter & Gamble’s superior brands and products. Modeling & 

Simulation is “growing up” within the development processes. Before, modeling may have provided direction into 

a final physical experiment which would be documented and used for a decision. Today, simulation is becoming 

how we learn, as well as that final test from which key decisions are made. This brings with it the responsibility 

that the data should be retained and documented in similar ways to how physical methods have been captured for 

reproductibility. P&G also has a strategy to democratize simulation to non-experts through simplified interfaces and 

apps. Singularly, these systems have been very costly to create and maintain. A scalable solution is required to make 

this goal attainable. Any solution for P&G must consider our wide breath of simulation disciplines and global footprint 

of users and experts. The ability to retrieve and reuse our models requires a federated solution. The journey to meet 

these needs has centered on a partnership with SIMULIA to meet our Simulation Process & Data Management needs. 

P&G went through an extensive process of gathering requirements and then partnered with SIMULIA for these to be 

delivered within the 15x 3DEXPERIENCE platform. A platform is only half of the solution, driving adoption through 

culture change & deployment strategies are equally important. This presentation will focus on the journey P&G has 

traveling and the successes we are seeing as 15x 3DEXPERIENCE Process Applications is deployed. 

Brand & Keywords: SIMULIA, Process Automation, Simulation Lifecycle Management 

Modeling Natural Fracture Activation Using a Poro-elastic Fracture Intersection Model 

The University of Texas at Austin 

Mahdi Haddad, Kamy Sepehrnoori 

Pre-existing natural fractures in a hydrocarbon reservoir complicate the hydraulic fracture growth and consequently, 

the microseismic event interpretation. Due to the misalignment of the natural fractures with respect to the far-field 

principal stresses, shear slippage is introduced as a failure mode or microseismic source along natural fractures. 

This failure mode, however, leaves a concern about the connectivity of the induced fracture network in order to 

enhance hydrocarbon production. A poro-elastic fracture intersection and propagation model can rigorously address 

this concern. 

Our numerical technique develops fracture intersections based on Pore-pressure Cohesive Zone Model (P-CZM) along 

both hydraulic and natural fractures. This model honors the fracture tip effects in quasi-brittle shale and introduces 

middle edge pore pressure nodes which are now hydraulically coupled at the intersection using additional simple 

governing equations. The model also provides a reasonable solution for the slit flow in fractures, which is fully 

coupled with continuum-based leak-off on the fracture walls along with poro-elastic effects within the porous media. 

Moreover, a user-defined stability function along the natural fracture(s) distinguishes the potential regions for the 

occurrence of microseisms. 

Using this model, natural fracture opening and shear slippage are investigated depending on horizontal stress contrast, 

adjoining fissure conductivity, and hydraulic-natural fracture intersection angle. Modeling results demonstrate the 

complexities of hydraulic fracture growth through the intersection with natural fracture such as selective branching 

and throttling at the intersection. Our fracturing simulations agree with the analytical criteria for fracture crossing or 

arrest at the intersection. 


WAimat Suite – Advanced Material Failure Modeling 

Thornton Tomasetti Weidlinger Applied Science 

Badri Hiriyur 

We present WAimat Suite – a modular software suite developed by Thornton Tomasetti-Weidlinger Applied Science 

(TT-WAS) to facilitate efficient, high fidelity advanced material modeling for industrial applications. WAimat was 

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developed on the basis of fundamental research undertaken at the Weidlinger Applied Science practice of TT, in 

support of several multi-year Office of Naval Research programs. These projects resulted in the formulation of 

new types of constitutive models that combine the state of the art in applied science and engineering with the 

computational efficiency necessary for industrial applications. Following a rigorous formulation and validation 

process, these constitutive models were implemented into Abaqus/Explicit, and deployed as three modules: 

WAidam, WAifire, and WAimc2. WAidam is a ductile-fracture prediction module which represents the cutting edge 

in ductile-fracture mechanics for large-scale shell structures. WAidam features a three-invariant plasticity model that 

accounts for dependence of the strain at fracture on both stress triaxiality and the third invariant of the deviatoric 

stress, which has a significant influence on shear-dominated fracture. WAidam achieves high levels of accuracy in 

fracture prediction while maintaining discretization levels and computational efforts that are realistic for structural 

applications. WAifire is a thermomechanical constitutive module for predicting fire and other high temperature 

effects on structures, including their residual capacity. It focuses on large-scale structures and their response to 

transient dynamic loading conditions. WAifire was developed on the basis of a comprehensive viscoplasticity model 

embedded in the shell mechanics framework. It is unique in its ability to represent both creep deformation and fast 

dynamic response to impulsive loads, in contrast to empirical creep models. WAifire delivers a consistent approach to 

assessing structural response to extreme thermomechanical loads with widely varying stresses, temperatures, and 

strain rates. WAimc2 allows the user to calibrate the WAidam and WAifire models, as well as other commonly used 

material models available in Abaqus/Explicit, to experimental test data. In addition to model calibration, WAimc2 

serves as a data repository and an uncertainty quantification platform. Past, present, and future material fits can be 

compared, uncertainty quantification metrics can be calculated, or the database can simply be used to organize a 

library of material fits and associated test data. 

Brand & Keywords: SIMULIA, Material Modeling, Ductile-Fracture Mechanics, Viscoplasticity, Creep Deformation 

Private and Public Cloud High Performance Computing for CAE Simulation: Benefits and Challenges 

TotalCAE 

Rodney Mach 

In this session you will learn how companies are taking advantage of the latest trends in High Performance 

Computing to accelerate the SIMULIA portfolio including Abaqus, fe-safe, and Isight. Case studies will cover HPC 

clusters, Remote Visualization, Cloud Computing, CAE backups in the Cloud, and other IT solutions that companies 

are utilizing to make engineers more productive. The presentation will focus on customer case studies that show 

real-world solutions to engineering challenge 

Brand & Keywords: SIMULIA, HPC, Remove Visualization, Cloud Computing, IT Solutions 

Z-set to Abaqus: Efficient Tools for Advanced Material Modeling, Damage Analysis and 3D Crack 

Propagation Simulation 

Tranvalor S.A. 

Nikolay Osipov 

Transvalor S.A. is a software and engineering services company, specializing in development and integration of 

numerical simulation codes. Transvalor transfers research results, mainly software packages, from leading French 

research institutions (MINES ParisTech and ONERA) to industry. Since 1996 Transvalor S.A. commercializes Z-mat 

for Abaqus - a library of constitutive models for plasticity and viscoplasticity with robust integration methods and 

advanced coefficient identification procedures. The actual package of integrated solutions provided by Transvalor 

helps customers to solve challenges ranging from material modeling and parameters' calibration to fatigue life 

estimation and 3D crack growth simulations. In the first part of the talk we will go through the presentation of the 

Z-set products and its interfaces with Abaqus. In the second part some examples of application of our products for the 

solution of industrial tasks in the field of thermomechanical fatigue will be presented. Particular focus will be given 

to the 3D cracks propagation simulations. 

Brand & Keywords: SIMULIA, Plasticity, Viscoplasticity, Crack Propagation 

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U 

Heavy Duty Structural Analysis using Abaqus in the Cloud 

UberCloud 

Wolfgang Gentzsch, Frank Ding 

The UberCloud engineering cloud community started its life in July 2012, with its very first engineering cloud 

experiment, which explored challenges and their resolution in the cloud. The end-user then was Frank Ding from 

Simpson Strong-Tie (Simulating steel to concrete fastening capacity for an anchor bolt) who worked with cloud 

provider, Nimbix, and software provider SIMULIA. In 2013, we introduced cloud mentors and repeated experiment 

one, now as Team 47. There was no surprise that that this cloud experiment finished successfully within one month 

compared to the three months of the first experiment. Since then, over 200 industry cloud experiments have been 

performed. 

Based on the experience gained from these experiments, we have developed novel software container technology 

which enables easy packaging of software and easy access and use of containerized application software on 

workstations, in-house servers, and on any in-cloud computing resources. Now, three years later, these cloud 

experiments take less than a week and often finish within one day. 

In this presentation, we will present this use case about simulating steel to concrete fastening capacity for an 

anchor bolt in the cloud with Abaqus. We will highlight the novel software container technology and how this is 

dramatically simplifying computing in private and public clouds and provide lessons learned and recommendations 

for our engineering community. 

Brand & Keywords: SIMULIA, Assemblies, Cloud Computing, Contact & Impact Mechanics, Design Optimization, High 

Performance Computing, Material Modeling 

Predicting and Designing Integrated Safety Syringe for Shelf Life Using Advanced Nonlinear 

Constitutive Models in Abaqus 

Unilife Medical Solutions 

Dinesh Panneerselvam, Scott Russo, Jyoti Gupta 

The Medical device industry is a highly regulated industry with patient safety being paramount. Ensuring the 

highest quality and patient safety demands that the device performs as desired from the time it is manufactured, 

through the shelf life of the product, and during use. Plastics used in medical devices can undergo degradation in 

mechanical properties over time during the product shelf life depending on the design of the device. It is therefore 

important to take this aspect of plastic behavior into account during material selection and device design. Plastics 

under constant load for long periods of time exhibit creep deformations. Testing devices for creep can be a lengthy 

process often leading to delay in design iterations to yield the optimum design and subsequently time to market. 

Computational modeling and FEA simulations with advanced material models can predict material behavior with 

a high degree of accuracy and can provide deep insights into how the device will perform over time resulting in 

valuable feedback for design iterations and often reducing design iteration cycles. In this paper, the short term and 

long term behavior of polycarbonate is modeled using hyperelastic-nonlinear viscoelastic model based on the parallel 

rheological framework. Constitutive model is calibrated against uniaxial tension and long term creep test data, is used 

to predict strain as a function of time in polycarbonate components of the Unifill Finesse Integrated Safety Syringe. 

Model predictions are validated against long term real time as well as accelerated aging test data. Typically these 

tests run for months. In summary, through this work, time consuming expensive design iterations through testing 

were reduced to a few cycles with accurate modeling and material creep strain predictions making use of advanced 

nonlinear constitutive models in Abaqus demonstrating how FEA simulations can be leveraged as an effective tool 

in product development process to save time and cost and in bringing high quality products faster to the market. 


Investigation on the Influence of Geometric Parameters of Rectangular Cross-Sections on Buckling 

of the Structure 

United Arab Emirates University 

Neha Arieckal Jacob, Sangarappillai Sivaloganathan 

The effect of cross-sectional parameters on the local buckling behavior of a rectangular hollow section (RHS) under 

lateral compression is examined in this study through finite element modeling and optimization. The finite element 

92

model was first validated against experimental data. With good agreement observed between the experimental and 

FEA results, the validated FEA model in Abaqus was used in conjunction with Isight to conduct an optimization 

study and examine the influence of cross-section parameters on the buckling behavior of the section. Cross-sectional 

parameters considered included the aspect ratio of the section, the thickness to width ratio of the web and the 

thickness to width ratio of the flange. For a target buckling load and given definite ranges of the width, height, flange 

thickness and web thickness, the best combination of parameters was arrived at using the optimization software 

Isight. 

Brand & Keywords: SIMULIA, Buckling & Collapse, Optimization 

A Nonlinear Model for Studying the Interface’s Behavior Bloc/Mortar in a Heritage Building and 

Numerical Modeling by Abaqus 

Université Hassan 1er FSTS, 

Hicham Fihri Fassi, A. Bentaybi, K . Elahrach, L.V.Parys 

This research work follows our first work presented in Simulia 2015 [1] about the modeling the mortar-block 

assembly for analyzing the potential occurrence of mechanical problems at interfaces as the consequence of an 

eventual incompatibility. The study considers a heritage building located in Morocco. In this recent study the authors 

test the effect of non linear behavior of materials and interface. The goal of the modeling works is to compare the 

repartition of internal solicitations between the original situation and the restored one in order to quantify the risk, for 

materials that should be conserved, associated with the œstress shieldingphenomenon and to justify the particular 

attention to be paid for the choice of a specific mortar for interventions to be carried out on the concerned building. 

An elastoplastic model including contact with friction is used. One concrete numerical example using Abaqus code 

will be treated and showed on this paper. 

[1] H. FIHRINFASSI and all; Study of mechanical compatibility at the mortar-block interface in a heritage building 

and numerical modeling by Abaqus SIMULIA 2015. 


Recent Advances in Composites Forming Simulation with User-Defined Material Models in Abaqus 

University of Massachusetts Lowell 

James Sherwood, Lisa M. Dangora, Kari D. White, Matteo J. Polcari 

Thermoforming and automated fabric placement processes show promise for reducing the time and cost for the 

manufacture of textile-reinforced composites. Simulating these processes can give insight into the manufacturability 

of the composite structure for each option and guide the design of the process. Commonly used fishnet algorithms 

offer a computationally efficient method for modeling. However, these algorithms are limited to modeling the 

kinematics of the textile deformation. Therefore, they do not account for the mechanical behavior of the textile, and 

thus, may not truly predict the final deformation state of the textile. The finite element method is an alternative for 

simulating these manufacturing processes and has the advantage of including the mechanical behavior of the textile, 

thereby allowing for investigating the relationship among changes in processing conditions and the resulting quality 

of the part. This paper presents a finite element based methodology for simulating the behavior of textile reinforced 

composites during the manufacturing process. The paper will start with an overview of the relatively simple tension, 

compression, bending and shear characterization tests that are used to provide inputs to the model for capturing the 

mechanical behavior of the textile. The ability of the model will be demonstrated (1) for the forming of a military 

helmet from a thermoplastic fiber-reinforced thermoplastic matrix to predict the precipitation of defects and their 

respective size and (2) for the simulation of automatic fabric placement in wind blade manufacturing for eliminating 

the forming of out-of-plane waves. 

Keywords: SIMULIA 

Multi-Scale Modeling of Textile Reinforced Tissue Engineered Heart Valves 

University of Massachusetts Lowell 

Scott Stapleton, Deepanshu Sodhani, Varunraj Ramachandran, Ashish Sethi, Ricardo Moreira, Petra Mela, 

Transcatheter aortic valve implantation of fibrin-based tissue engineered heart valves with a tubular leaflet construct 

have been developed as an alternative to invasive traditional surgical heart valve implantation, but currently cannot 

withstand pressures found in the aortic position. To increase valve strength, a PET textile reinforcement has been 

introduced to the fibrin scaffold. However, care must be taken when using a textile reinforcement. Increasing 

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einforcement may increase the strength, but also increases stiffness which can interfere with the functionality of 

the valve, prohibiting full valve closure. In order to predict the behavior of the valve, improve design, and eventually 

optimize valve performance based by tailoring the textile reinforcement, a 4-tiered hierarchical multi-scale modeling 

framework has been created. The model includes an individual fiber scale model, two textile-level models, and 

a full heart valve model. Geometry generation based on microscopic images of the composite will be discussed, 

along with application of boundary conditions and loading application. Fitting the various material models based on 

homogenization of the smaller scale will be demonstrated. Finally, experimental validation and characterization at 

various scales will be discussed. 

Brand & Keywords: SIMULIA, Biological Modeling, Composites, Material Modeling 

Finite Element Thermal Crack Analysis of Prestressed Double Tee Canopy Beam 

University of Tennessee at Chattanooga 

Weidong Wu, Tyler Haraway, Asritha Batchu, Ignatius Fomunung, Joseph Owino, Mbakisya Onyango, 

Nonlinear Finite Element Analysis is performed to investigate the crack of a pre-stressed double tee canopy beam 

due to thermal expansion. Concrete damage plasticity material model is employed to detect the potential crack of 

concrete beam caused by thermal loads. The bond between pre-stressed strands and concrete is modeled by tie, 

cohesive element and friction. Explicit modeling approach is selected due to the significant discontinuity in the threedimensional 

model. The potential crack pattern from FEA modeling indicates the actual crack as observed in the field 

quite well. 


High-velocity Impact Damage Modeling of Laminated Composites using Abaqus/Explicit 

and Multiscale Methods 

University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture 

Ivica Smojver, Darko Ivancevic 

The present work describes a multiscale methodology which has been developed for modeling of impact damage 

in the laminated composite structures. The methodology employs the High Fidelity Generalized Method of Cells 

(HFGMC) micromechanical model for the prediction of the local stress and strain fields, within the representative 

unit cell of the unidirectional composite material. The Mixed Mode Continuum Damage Mechanics (MMCDM) theory 

has been utilized to model damage within the composite unit cell at the micromechanical level. The MMCDM theory 

enables modeling of the microdamage nonlinearities at in-plane shear and transverse compressive loadings of the 

composite plies. Employment of the multiscale approach enables the application of the MMCDM damage model in 

structural analyzes. 

Computations at the structural level have been performed using Abaqus/Explicit, whereas the link between the two 

distinct scales has been established by the VUMAT subroutine. The method uses an adaptive approach in which 

the micromechanical computations in the HFGMC-VUMAT subroutine have been called only at the material points 

in which damage effects are to be expected. The Puck's ply-based failure theory has been applied as the criterion 

initiating the micromechanical analyzes. 

The methodology has been implemented in the high-velocity soft-body impact simulations at T300/914 CFRP 

composite plates. Results of the multiscale damage model have been validated using available experimental data 

and by comparison with the numerical results obtained using several ply level failure criteria and the Abaqus built-in 

damage model for fiber-reinforced composites. 

Brand & Keywords: SIMULIA, Composites, Contact & Impact Mechanics, Material Modeling 

V 

Annual QUCOMM Update 

Vertex Pharmaceuticals 

Daryn Berger 

QUCOMM is the QUMAS Community (User Group) of users across all customers. It is a group formed and managed 

entirely by users, including the QUCOMM Steering Committee (SC) which is elected from amongst the QUMAS users 

to best represent its interests in communications with the QUMAS Management team. The QUCOMM SC meets, 

virtually or in person, once a quarter. The QUCOMM Chair will provide the annual update on its activities and programs. 

Brand: BIOVIA 

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Coupled Thermomechanical Forging Simulations and the Effect of Material Constitutive Laws 

Veryst Engineering 

Stuart Brown, Nagi Elabbasi, Eric Schmitt 

Correct hot forming design relies on accurate prediction of forming loads, material deformation, and material 

properties. This is particularly true for coupled thermomechanical analyses, where die/workpiece contact will change 

local deformations and temperatures. These strains and thermal histories can change the material microstructures 

and resulting product properties. This presentation examines the influence of different material and contact models 

within a hot forging simulation and discusses the consequences on ultimate product performance. We use rateindependent 

plasticity and compare the results with the Anand viscoplastic model available within Abaqus. We also 

use different contact conditions with varying pressure sensitivity for heat transfer. The simulations demonstrate that 

constitutive model selection has a strong effect on the final predicted properties of the forging. 

Brand & Keywords: SIMULIA, Manufacturing, Material Modeling 

Sloshing Analysis of Baffled Containers Using SPH Method 

Veryst Engineering 

Alireza Kermani, Nagi Elabbasi 

We used the smoothed particle hydrodynamics, SPH, approach in Abaqus/Explicit to simulate sloshing of a partially 

filled container for a consumer product application. We investigated the effect of fill level and acceleration on sloshing. 

Our results indicate that, for the severe impact conditions that we investigated, sloshing forces are proportional to the 

mass of fluid and do not scale with acceleration. We also compared the response of the containers with and without 

baffles and showed that the container we considered with conventional baffles experiences the lowest maximum 

stress during sloshing. 

In this work we used the smoothed particle hydrodynamics SPH approach in Abaqus/Explicit to simulate sloshing 

of a partially filled container for a consumer product application. The simulation results show a significant difference 

in the stresses in the container compared to an empty container, and also compared to an approximate method of 

adding the fluid mass to a standard structural impact analysis. We also investigated the effect of several changes to 

the internal structure of the container aimed at reducing the effect of fluid sloshing. 

Brand & Keywords: SIMULIA, Contact & Impact Mechanics, Dynamics & Shock 

Bond Model Development for Pretensioned Concrete Crossties with User Materials in Abaqus 

Volpe National Transportation Systems Center 

Hailing Yu, David Jeong 

Pretensioned concrete crossties are increasingly employed in railroad heavy haul and high speed lines. The bond 

between steel reinforcements and concrete affects several important performance measures of concrete ties, and 

bond modeling is a critical component in the analysis of concrete tie behavior using the finite element (FE) method. 

This paper summarizes the bond models developed at the Volpe Center for pretensioned concrete crossties and 

their implementation as user materials for cohesive elements in Abaqus. The bond models are macro-scale or 

phenomenological and developed within the elasto-plastic framework. The steel reinforcement-concrete interface 

is homogenized and represented with a thin layer of cohesive elements sandwiched between steel and concrete 

elements. Traction-displacement constitutive or bond relations are defined and assigned for the cohesive elements. 

The traction components are normal and shear stresses, and the displacement components are interfacial dilatation 

and slip. Elasto-plastic bond models for a smooth wire, three indented wires and a seven-wire strand commonly 

used in concrete crosstie production are presented with their respective elastic stiffness, yield function and plastic 

flow definitions. Calibration and validation of these bond models with experimental data are further described in this 

paper. 

Brand & Keywords: SIMULIA, Composites, Material Modeling 

95

W 

Load Measurement and Linear Dynamics with Wolf Star Technologies 


Tim Hunter 

Understanding and interpreting loads and linear dynamics results are challenges in most engineering problems. 

Wolf Star Technologies will show theoretical background, examples and demonstration of their integrated solutions 

for understanding loads and interpreting linear dynamic solutions. True-Load is the tool provided by Wolf Star 

Technologies that turns components into their own load transducers. True-LDE is the post processing solution for 

*MODAL DYNAMIC, *STEADY STATE DYNAMICS and *RANDOM RESPONSE solves which makes post processing 

interactive and natural while reducing solution time and storage requirements by up to 90%. All of the Wolf Star 

Technologies solutions are Abaqus/CAE plug-ins and have direct interface to fe-safe® which makes fatigue analysis 

a natural part of the design evaluation cycle. 

Brand & Keywords: SIMULIA, Linear Dynamic Solutions, Load, Post-Processing, Fatigue Analysis 

96

INDEX 

A 

Abbvie 47 

Amgen 47 

Ariens 48 

ASICS corporation 48 

AstraZeneca 48 

Astrix 48 

ATA Engineering 49 

Atomenergoproekt 49 

Aventec Inc. 49 

B 

Baker Hughes 50, 51 

Baxalta 51 

Becton Dickinson 51 

BETA CAE Systems S.A 51 

Biogen 52 

BIOMODEX 52 

BIOVIA, Arnaiz, H., Unruh, 

K. 53 

BIOVIA, Bost, F., van Daelen, 

T. 53 

BIOVIA, Curran, D. 53 

BIOVIA, DeAlmeida, D. 53 

BIOVIA, DeJoannis, J. 54 

BIOVIA, Doyle, M. 54 

BIOVIA, Ecccles, N. 54 

BIOVIA, Fiegland, L. 54, 55 

BIOVIA, Forman, K. 55 

BIOVIA, Froloff, N. 55, 56 

BIOVIA, Frost, C. 56 

BIOVIA, Honeycutt, D. 56 

BIOVIA, Jansen, D. 57 

BIOVIA, Lusczakoski, K. 57 

BIOVIA, O'Brien, D. 57 

BIOVIA, O'Leary, K. 57 

BIOVIA, Quilligan, A. 58 

BIOVIA, Raiche, K. 47 

BIOVIA, Reynolds, N. 58 

BIOVIA, Ruth, J., Unruh, K. 

58 

BIOVIA, Sage, M. 58 

BIOVIA, Sefried, A. 58 

BIOVIA, Spence, A. 59 

BIOVIA, Stevens, A. 59 

BIOVIA, Tetreault, G. 59 

BIOVIA, Todd, S. 60 

BIOVIA, Unruh, K. 60, 61 

BIOVIA, van Daelen, T. 61 

BIOVIA, Vasowalla, M. 52, 

61 

BIOVIA, Winslow, S. 61 

BMW AG 62, 89 

Bosch 62 

Bristol-Myers Squibb 61, 62 

C 

Camso 62 

Capvidia 63 

CATIA 63, 64 

C-FER Technologies 64 

CISDI Engineering Co., Ltd. 

64 

Collaborations in Chemistry 

65 

Colorado School of Mines 65 

Combustion Research and 

Flow Technology, Inc. 65 

Convergent Manufacturing 

Technologies, Inc 66 

Cornell University 66 

Cradle North America Inc 66 

Cray 67 

CST 67 

D 

Dana Holding Corporation 

67 

Dassault Systemes UK 

Limited 

John Draper 67 

DfR Solutions 68 

Digital Product Simulation 

Inc. 68 

Discngine 69 

DuPont de Nemours 69 

DuPont Performance 

Materials 70 

Durham University 70 

E 

Eaton Corporation 70 

Eisai 70 

Endurica 70 

Eni S.p.A. 71 

ENOVIA 71 

EXALEAD 71 

ExxonMobil 71 

F 

FCA Engineering India Pvt 

Ltd 72 

G 

GE 73 

General Motors 73 

Gilead Sciences 73 

Granta Design 73 

Grupo Smarttech 74 

GSK 74 

H 

Halliburton 74, 75 

Harvard University 75 

H.C.Starck 74 

Hyundai Motor Company 75 

I 

Illinois Institute of 

Technology 76 

Intel 76 

L 

LabAnswer 77 

Lse Design Inc 77 

M 

Mechanical Design & 

Analysis Corporation 77, 

78 

Mercedes Benz Research and 

Development India 78 

Missouri University of 

Science and Tech 79 

Motorola Mobility LLC 79 

N 

National University of 

Singapore 79 

Naval Undersea Warfare 

Center 80 

O 

Optimal Device 80 

P 

Paradigm Geophysical 80 

Perrigo 81 

Pfizer 81, 82 

Plastic Technologies, Inc. 82 

PPD 82 

PQ Corp 83 

Principia 83 


83, 90 

Psylotech 84 

Purdue University 84 

Q 

Quest Integrity Group 84, 85 

R 

Regeneron 85 

RJ Reynolds 85 

Roketsan Missile Ind. 86 

S 

Saba Metallurgical and Plant 

Engineering Services, LLC 

86 

Saint Louis University 86 

SGI 87 

Simpleware 87 

SOLIDWORKS 87, 88 

Solvay 88 

Stevens Institute of 

Technology 88 

Stratasys 88 

T 

Takeda 89 

Technische Universität 

München 89 

Tenaris Dalmine SpA 89 

TEN TECH LLC 89 

The University of Texas at 

Austin 90 

Thornton Tomasetti 

Weidlinger Applied 

Science 90 

TotalCAE 91 

Tranvalor S.A. 91 

U 

UberCloud 92 

Unilife Medical Solutions 92 

United Arab Emirates 

University 92 

Université Hassan 1er FSTS 

93 

University of Massachusetts 

Lowell 93 

University of Tennessee at 

Chattanooga 94 

University of Zagreb 94 

V 

Vertex Pharmaceuticals 94 

Veryst Engineering 95 

Volpe National 

Transportation Systems 

Center 95 

W 

Wolf Star Technologies 96 

97

BOSTON MARRIOTT COPLEY PLACE 

Simmons 

Boston Univ. 

THIRD FLOOR 

Northeastern 

Brandeis 

Tufts 

Regis 

Gloucester 

Wellesley 

Suffolk 

Atrium 

Fairfield Dartmouth Berkeley 

Exeter Clarendon 

Harvard 

Arlington 

MIT 

FOURTH FLOOR 

Provincetown 

Nantucket 

Hyannis Vineyard 

Yarmouth 

Salon K 

Salon J 

Salon A 

Salon B 

Falmouth 

Orleans 

Salon G 

Salon F 

Salon E 

Registration & 

Speaker Check-in 

Ballroom Foyer 

Salon I 

Salon H 

Salon D 

Salon C 

98

BOSTON MARRIOTT COPLEY PLACE 

MAP KEY 

Registration & Speaker Check-in (Registration Desk) 

Meals (Gloucester & Third-Floor Atrium) 

Customer Support (Provincetown, Floor 4) 

Plenary (Salons F-G, Floor 4) 

Exhibit Hall & 3DEXPERIENCE Playground (Salons A-E, Floor 4) 

BREAKOUT SESSIONS AND OTHER OFFERINGS 

BIOVIA Breakout Sessions (Floor 3) 

SIMULIA Breakout Sessions (Floors 3 and 4) 

Dassault Systèmes Brand Breakout Sessions (Nantucket, Floor 4) 

SIMULIA Usability Testing (Brandeis, Floor 3) 

SIMULIA Partner Demos (Orleans& Hyannis, Floor 4) 

SIMULIA Academic Posters (Ballroom Foyer, Floor 4) 

FIRST FLOOR 

SECOND FLOOR 

Boylston 

Columbus II 

Tremont 

Columbus I 

St. Botolph 

99

BIOVIA SIMULIA 

GEOVIA EXALEAD CATIA SOLIDWORKS ENOVIA 

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IFWE, IN THE AGE OF EXPERIENCE and 3DEXCITE are trademarks of Dassault Systèmes or its subsidiaries. Use of these trademarks is subject to Dassault Systèmes or its subsidiaries express written approval. 

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