Report - PEER - University of California, Berkeley

Report - PEER - University of California, Berkeley Report - PEER - University of California, Berkeley

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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

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

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