Evolutionary Strategies for Multidisciplinary ... - Dynardo GmbH

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MDO Production Runs (I) Minimization of body mass Finite element mesh Crash ~ 1.000.000 elements NVH ~ 300.000 elements Independent parameters: Thickness of each unit: 136 Constraints: 47, resulting from various load cases 180 (10 x 18) shots ~ 12 days rear impact high speed rear impact low speed Lateral impact Statics MDO Dynamic No statistical evaluation due to problem complexity front impact high speed Front impact low speed 34
MDO Production Runs (II) Mass NuTech’s Evolution Strategy Generations Initial Value 13,5 kg weight reduction by NuTech’s ES. Beats best so far method significantly. Typically faster convergence velocity of ES. Reduction of development time from 5 to 2 weeks allows <strong>for</strong> process integration. Still potential <strong>for</strong> further improvement after 180 shots. 35
Page 1 and 2: Evolutionary Strategies for Multidi
Page 3 and 4: Background I Biology = Engineering
Page 5 and 6: Optimization f : objective function
Page 7 and 8: Dynamic Optimization Dynamic Functi
Page 9 and 10: The Fundamental Challenge Global co
Page 11 and 12: Evolution Strategies 11
Page 13 and 14: Evolution Strategy - Basics Mostly
Page 15 and 16: Evolution Strategy: Algorithms Muta
Page 17 and 18: Operators: Mutation - one σ Thereb
Page 19 and 20: Evolution Strategy Algorithms Selec
Page 21 and 22: Operators: Selection Possible occur
Page 23 and 24: Self-adaptation Self adaptation No
Page 25 and 26: Self-adaptation Self adaptation: :
Page 27 and 28: Mixed-Integer Mixed Integer Evoluti
Page 29 and 30: Mixed-Integer Mixed Integer ES: Mut
Page 31 and 32: Multidisciplinary Optimization (MDO
Page 33: MDO Crash / Statics / Dynamics Mini
Page 37 and 38: MDO ASF ® Front Optimization Pre-o
Page 39 and 40: MDO Run Comparison Initial design,
Page 41: Corporate Headquarters: Charlotte,

Evolutionary Strategies for Multidisciplinary ... - Dynardo GmbH

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