Report - PEER - University of California, Berkeley
Report - PEER - University of California, Berkeley Report - PEER - University of California, Berkeley
Whereas financial and insurance organizations are comfortable dealing with meanannual expected losses or mean annual frequencies of exceedence on loss (which fitinto their business planning models), other stakeholders prefer more “intuitive”measures, such as likely losses or downtimes from one or more earthquake scenarios.In some cases, stakeholders may evaluate earthquake hazard mitigation throughstructural retrofit as one alternative among other strategies (such as insurance) tomanage their risk. In other cases, PBEE may assist in quantifying trade-offs betweenthe cost-benefits of earthquake mitigation compared to other business or societalneeds and priorities. A practical implication of this is that the PBEE methodologyshould permit alternative descriptions of the performance metrics. Thus, while cast interms of a rigorous probabilistic framework, the intent is that the final expression ofthe PBEE decision variables can be translated into different formats.Thinking in broader terms about PBEE and the proposed methodology, two goalsare envisioned. The first is to create a performance engine to be applied in full detailto the seismic performance assessment of important or critical facilities, where suchefforts are warranted. The second is to provide the means of calibrating simplifiedprocedures that might be used for advancement of future building codes. It is in thisapplication that the methodology is likely to have its largest potential impact.ACKNOWLEDGEMENTSThe work summarized herein was supported by the PEER Center through the EERCProgram of the National Science Foundation under Award number EEC-9701568.The author acknowledges the leadership of the PEER Management Team, led bydirector Jack Moehle, and the many contributions of PEER researchers in developingthe proposed methodology and enabling technologies. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author anddo not necessarily reflect those of the National Science Foundation or other sponsors.REFERENCESATC-40. (1996). Seismic Evaluation and Retrofit of existing concrete buildings, Report No.ATC-40, Applied Technology Council, Redwood City, CA.Aslani, H., E. Miranda. (2003). “Fragility Assessment of Reinforced Concrete Interior SlabColumn Connections,” J. Struct. Engrg., ASCE, submitted for publication.Aslani, H., E. Miranda. (2004). “Component-Level and System-Level Sensitivity Study forEarthquake Loss Estimation,” Paper No. 1070, Proc. 13WCEE, Vancouver, B.C.Baker, J. W., C. A. Cornell. (2004). “Choice of a Vector of Ground Motion Intensity Measuresfor Seismic Demand Hazard Analysis,” Paper No. 3384, Proc. 13WCEE, Vancouver, B.C.Baker, J., C. A. Cornell. (2003). Uncertainty Specification and Propagation for LossEstimation Using FOSM Method, PEER Report 2003-07, http:/peer.berkeley.edu.Comerio, M., J. C. Stallmeyer, W. Holmes, P. Morris, S. Lau. (2002). Nonstructural LossEstimation: The UC Berkeley Case Study, PEER 2002-01, http:/peer.berkeley.edu.Comerio, M. (ed.). (2004). PEER Testbed Study on a Laboratory Building: Exercising SeismicPerformance Assessment, PEER Report 2004/#, (in press). http:/peer.berkeley.edu.25
Cordova, P. P., G. G. Deierlein, S. S. F. Mehanny, C. A. Cornell. “Development of a Two-Parameter Seismic Intensity Measure and Probabilistic Assessment Procedure,” PEERReport 2000/10, 2 nd US-Japan Workshop on PBEE for RC Building Structs., pg. 195-214.Cornell, C. A. (2004). “Hazard, Ground Motions, and Probabilistic Assessments for PBSD,”PBSD Concepts and Impl., PEER Report 2004/# (in press). http:/peer.berkeley.edu.Eberhard, M. O., A. Mookerjee, and M. Parrish. (2001). Uncertainties in PerformanceEstimates for RC Columns, PEER Center, Richmond, CA,http://ce.washington.edu/~peera1.Elwood, K. J., J. P. Moehle. (2003). Shake Table Tests and Analytical Studies on the GravityLoad Collapse of RC Frames, PEER Report 2003/01, http:/peer.berkeley.edu.FEMA-273. (1997). NEHRP guidelines for the seismic rehabilitation of buildings, Report No.FEMA-273, Federal Emergency Management Agency, Washington, D.C.FEMA-356. (2000). Prestandard and commentary for the seismic rehabilitation of buildings,Report No. FEMA-356, Federal Emergency Management Agency, Washington, D.C.Hutchinson, T., R. Chaudhuri. (2004). “Seismic Fragility of Small Equipment and Contents,”PBSD Concepts and Impl., PEER Report 2004/# (in press), http:/peer.berkeley.edu.Ibarra, L. F., H. Krawinkler. (2004). “Global Collapse of Deteriorating MDOF Systems,” PaperNo. 116, Proc. of 13WCEE, Vancouver, B.C.Kaul, R. (2004). Object Oriented Development of Strength and Stiffness Degrading Models forReinforced Concrete Structures, Ph.D. Thesis., CEE Dept. Stanford Univ., Stanford, CA.Kircher, C. A., A. A. Nassar, K. Onder, W. T. Holmes. (1997). “Development of BuildingDamage Functions for Earthquake Loss Estimation,” Earthquake Spectra, 13(4), pp. 663-682Kircher, C. A., R. K. Reitherman, R. V. Whitman, C. Arnold. (1997).“Estimation ofEarthquake Losses to Buildings, Earthquake Spectra, 13(4), pp. 703-720.Krawinkler, H. [ed.] (2004), Van Nuys Hotel Building Testbed Report: Exercising SeismicPerformance Assessment, PEER Report 2004/#, (in press), http:/peer.berkeley.edu.Krawinkler, H., E. Miranda. (2004). “Chapter 9 - Performance-Based EarthquakeEngineering,” Earthquake Engineering, Y. Bozorgnia, V. V. Bertero, eds. CRC Press.Lowes, L., N. Mitra, A. Altoontash. (2003). A Beam-Column Joint Model for Simulating theEarthquake Response of RC Frames, PEER Report 2003/10, http:/peer.berkeley.edu.May, P. J. (2001). Organizational and Societal Considerations for Performance-BasedEarthquake Engineering, PEER Report. 2001-04, http:/peer.berkeley.edu.Miranda, E., H. Aslani, S. Taghavi. (2004). “Assessment of Seismic Performance in Terms ofEconomic Losses,” PBSD Concepts and Impl., PEER Report 2004/# (in press).Miranda, E., H. Aslani. (2003). Probabilistic Response Assessment for Building-Specific LossEstimation, PEER 2000/03, http:/peer.berkeley.edu.Pagni, C. A., L. N. Lowes. (2004). “Tools to Enable Prediction of the Economic Impact ofEarthquake Damage in Older RC Beam-Column Joints,” PBSD Concepts and Impl., PEERReport 2004/# (in press), http:/peer.berkeley.edu.Porter, K., A. S. Kiremidjian, S. LeGrue. (2001). “Assembly-Based Vulnerability of Buildingsand Its Use in Performance Evaluation,” Earthquake Spectra, EERI, 17(2), pgs. 291-312.Stewart, J. P., S. J. Chiou, J. Bray, R. W. Graves, P. G. Somerville, N. A. Abrahamson. (2001).Ground Motion Evaluation Procedures for PBD, PEER 2001/09, http:/peer.berkeley.edu.Taghavi, S., E. Miranda. (2003). Response Assessment of Nonstructural Building Elements,PEER Report 2003/05, http:/peer.berkeley.edu.Vamvatsikos, D., and C. A. Cornell. (2002). Incremental Dynamic Analysis. EarthquakeEngineering and Structural Dynamics, 31(3): p. 491-514.26
- Page 2 and 3: PERFORMANCE-BASED SEISMIC DESIGNCON
- Page 4 and 5: CONTENTSTable of Contents..........
- Page 6 and 7: REAL-TIME DYNAMIC HYBRID TESTING OF
- Page 8 and 9: PREFACEThe workshop on “Seismic D
- Page 10 and 11: LIST OF PARTICIPANTSSergio M. Alcoc
- Page 12 and 13: RESOLUTIONSThe International Worksh
- Page 14 and 15: CONCLUSIONS AND RECOMMENDATIONSThe
- Page 16 and 17: nonlinear dynamic) and when they sh
- Page 18 and 19: exists to develop testing protocols
- Page 20 and 21: to be sent soon to the 28 members o
- Page 22 and 23: factor γ I is 1.4 or 1.2 for essen
- Page 24 and 25: i. The well-known relation µ θ -
- Page 26 and 27: γ s =1.15. Values less than 1.0 me
- Page 28 and 29: efore (factor α in Eq.(4)). Materi
- Page 30 and 31: the force demand from the analysis,
- Page 32 and 33: OVERVIEW OF A COMPREHENSIVE FRAMEWO
- Page 34 and 35: ground motion Intensity Measure (IM
- Page 36 and 37: 2.2 Simulation of Engineering Deman
- Page 38 and 39: describing the economic losses asso
- Page 40 and 41: practice the localized gravity load
- Page 44 and 45: AN OUTLINE OF AIJ GUIDELINES FOR PE
- Page 46 and 47: (7) a method of performance evaluat
- Page 48 and 49: where, T: natural period of structu
- Page 50 and 51: 6. DAMAGE AND LIMIT DEFORMATIONSThe
- Page 52 and 53: The limit inter-story deformations
- Page 54 and 55: DirectionX-directionY-directionSkew
- Page 56 and 57: HAZARD, GROUND MOTIONS AND PROBABIL
- Page 58 and 59: of events with [X1>x 1 , X 2 >x 2 ,
- Page 60 and 61: 2.4 Option C: Sufficient IMs: Estim
- Page 62 and 63: predictions and hence required samp
- Page 64 and 65: PEER has put forward PBSA methodolo
- Page 66 and 67: 3.2.1 A DCF Displacement-Based Form
- Page 68 and 69: parameter k (the slope of the hazar
- Page 70 and 71: POST-EARTHQUAKE FUNCTION OF HIGHWAY
- Page 72 and 73: ln( EDP) a b ln ( IM )= + (1)Probab
- Page 74 and 75: terms of global and local bridge pe
- Page 76 and 77: Figure 3. Bridge column component d
- Page 78 and 79: 5.2 Method B: MDOF Residual Displac
- Page 80 and 81: calculated using a 2 dimensional mu
- Page 82 and 83: MODELING CONSIDERATIONS IN PROBABIL
- Page 84 and 85: location. Transverse reinforcement
- Page 86 and 87: 2.50.1000Spectral Accel. (g)2.01.51
- Page 88 and 89: Results indicate that 33% of the re
- Page 90 and 91: 4.1.2 Elastic vs. Inelastic ModelsF
Whereas financial and insurance organizations are comfortable dealing with meanannual expected losses or mean annual frequencies <strong>of</strong> exceedence on loss (which fitinto their business planning models), other stakeholders prefer more “intuitive”measures, such as likely losses or downtimes from one or more earthquake scenarios.In some cases, stakeholders may evaluate earthquake hazard mitigation throughstructural retr<strong>of</strong>it as one alternative among other strategies (such as insurance) tomanage their risk. In other cases, PBEE may assist in quantifying trade-<strong>of</strong>fs betweenthe cost-benefits <strong>of</strong> earthquake mitigation compared to other business or societalneeds and priorities. A practical implication <strong>of</strong> this is that the PBEE methodologyshould permit alternative descriptions <strong>of</strong> the performance metrics. Thus, while cast interms <strong>of</strong> a rigorous probabilistic framework, the intent is that the final expression <strong>of</strong>the PBEE decision variables can be translated into different formats.Thinking in broader terms about PBEE and the proposed methodology, two goalsare envisioned. The first is to create a performance engine to be applied in full detailto the seismic performance assessment <strong>of</strong> important or critical facilities, where suchefforts are warranted. The second is to provide the means <strong>of</strong> calibrating simplifiedprocedures that might be used for advancement <strong>of</strong> future building codes. It is in thisapplication that the methodology is likely to have its largest potential impact.ACKNOWLEDGEMENTSThe work summarized herein was supported by the <strong>PEER</strong> Center through the EERCProgram <strong>of</strong> the National Science Foundation under Award number EEC-9701568.The author acknowledges the leadership <strong>of</strong> the <strong>PEER</strong> Management Team, led bydirector Jack Moehle, and the many contributions <strong>of</strong> <strong>PEER</strong> researchers in developingthe proposed methodology and enabling technologies. Any opinions, findings, andconclusions or recommendations expressed in this material are those <strong>of</strong> the author anddo not necessarily reflect those <strong>of</strong> the National Science Foundation or other sponsors.REFERENCESATC-40. (1996). Seismic Evaluation and Retr<strong>of</strong>it <strong>of</strong> existing concrete buildings, <strong>Report</strong> No.ATC-40, Applied Technology Council, Redwood City, CA.Aslani, H., E. Miranda. (2003). “Fragility Assessment <strong>of</strong> Reinforced Concrete Interior SlabColumn Connections,” J. Struct. Engrg., ASCE, submitted for publication.Aslani, H., E. Miranda. (2004). “Component-Level and System-Level Sensitivity Study forEarthquake Loss Estimation,” Paper No. 1070, Proc. 13WCEE, Vancouver, B.C.Baker, J. W., C. A. Cornell. (2004). “Choice <strong>of</strong> a Vector <strong>of</strong> Ground Motion Intensity Measuresfor Seismic Demand Hazard Analysis,” Paper No. 3384, Proc. 13WCEE, Vancouver, B.C.Baker, J., C. A. Cornell. (2003). Uncertainty Specification and Propagation for LossEstimation Using FOSM Method, <strong>PEER</strong> <strong>Report</strong> 2003-07, http:/peer.berkeley.edu.Comerio, M., J. C. Stallmeyer, W. Holmes, P. Morris, S. Lau. (2002). Nonstructural LossEstimation: The UC <strong>Berkeley</strong> Case Study, <strong>PEER</strong> 2002-01, http:/peer.berkeley.edu.Comerio, M. (ed.). (2004). <strong>PEER</strong> Testbed Study on a Laboratory Building: Exercising SeismicPerformance Assessment, <strong>PEER</strong> <strong>Report</strong> 2004/#, (in press). http:/peer.berkeley.edu.25