000013381 001__ 13381
000013381 005__ 20161114160338.0
000013381 04107 $$aeng
000013381 046__ $$k2009-06-22
000013381 100__ $$aFragiadakis, M.
000013381 24500 $$aPerformance uncertainty estimation using simplified methods of analysis

000013381 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013381 260__ $$bNational Technical University of Athens, 2009
000013381 506__ $$arestricted
000013381 520__ $$2eng$$aApproximate methods based on static pushover are introduced to estimate the seismic performance uncertainty of structures having uncertain plastic hinge parameters. Performance uncertainty is one of the driving forces behind modern seismic guidelines (e.g. FEMA-350) and it is arguably an essential ingredient of Performance-Based Earthquake Engineering (PBEE). We propose methodologies that use a minimum of static nonlinear analyses and are capable of accurately estimating the demand and capacity epistemic uncertainty. As a testbed, the wellknown nine-story LA9 steel frame is employed using beam-hinges with uncertain backbone properties. The properties of the backbone can be fully described by six parameters which are considered uncertain with given mean and standard deviation. Using Latin Hypercube Sampling with classic Monte Carlo simulation, the pushover curve is shown to be a powerful tool that can closely estimate the uncertainty in the seismic performance. Moment estimating techniques such as the Rosenblueth’s point estimating method and the first-order, second-moment (FOSM) method are also adopted as simple alternatives to obtain performance statistics within a few static pushover simulations. Coupled with the SPO2IDA tool, a multilinear R-µ-T relationship, such estimates can be applied at the level of the results of nonlinear dynamic analysis, allowing the evaluation of seismic capacity uncertainty even close to global dynamic instability. In this study we compare the effectiveness of Monte Carlo simulation with LHS sampling versus the moment-estimating methods and we perform a parametric study on the minimum number of Monte Carlo simulations required to sufficiently estimate the response statistics.

000013381 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013381 653__ $$aPerformance Uncertainty; Static Pushover Analysis; Incremental Dynamic Analysis; Nonlinear response history analysis; Epistemic Uncertainty. Abstract. Approximate methods based on static pushover are introduced to estimate the seismic performance uncertainty of structures having uncertain plastic hinge parameters. Performance uncertainty is one of the driving forces behind modern seismic guidelines (e.g. FEMA-350) and it is arguably an essential ingredient of Performance-Based Earthquake Engineering (PBEE). We propose methodologies that use a minimum of static nonlinear analyses and are capable of accurately estimating the demand and capacity epistemic uncertainty. As a testbed, the wellknown nine-story LA9 steel frame is employed using beam-hinges with uncertain backbone properties. The properties of the backbone can be fully described by six parameters which are considered uncertain with given mean and standard deviation. Using Latin Hypercube Sampling with classic Monte Carlo simulation, the pushover curve is shown to be a powerful tool that can closely estimate the uncertainty in the seismic performance. Moment estimating techniques such as the Rosenblueth’s point estimating method and the first-order, second-moment (FOSM) method are also adopted as simple alternatives to obtain performance statistics within a few static pushover simulations. Coupled with the SPO2IDA tool, a multilinear R-µ-T relationship, such estimates can be applied at the level of the results of nonlinear dynamic analysis, allowing the evaluation of seismic capacity uncertainty even close to global dynamic instability. In this study we compare the effectiveness of Monte Carlo simulation with LHS sampling versus the moment-estimating methods and we perform a parametric study on the minimum number of Monte Carlo simulations required to sufficiently estimate the response statistics.

000013381 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013381 720__ $$aFragiadakis, M.$$iVamvatsikos, D.
000013381 8560_ $$ffischerc@itam.cas.cz
000013381 8564_ $$s397147$$uhttps://invenio.itam.cas.cz/record/13381/files/CD562.pdf$$yOriginal version of the author's contribution as presented on CD, section: Statistical and probabilistic methods in computational mechanics to treat aleatory and epistemic uncertainties in structural and/or geotechnical systems and their loading environment - ii (MS).
000013381 962__ $$r13074
000013381 980__ $$aPAPER