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Incremental dynamic analysis for estimating seismic performance sensitivity and uncertainty

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dc.contributor.author Vamvatsikos, D en
dc.contributor.author Fragiadakis, M en
dc.date.accessioned 2014-03-01T01:33:38Z
dc.date.available 2014-03-01T01:33:38Z
dc.date.issued 2010 en
dc.identifier.issn 0098-8847 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20505
dc.subject Epistemic uncertainty en
dc.subject First-order second-moment en
dc.subject Incremental dynamic analysis en
dc.subject Latin hypercube sampling en
dc.subject Monte carlo en
dc.subject Performance-based earthquake engineering en
dc.subject.classification Engineering, Civil en
dc.subject.classification Engineering, Geological en
dc.subject.other Epistemic uncertainties en
dc.subject.other First order second moment en
dc.subject.other Incremental dynamic analysis en
dc.subject.other Latin hypercube sampling en
dc.subject.other MONTE CARLO en
dc.subject.other Performance-based earthquake engineering en
dc.subject.other Civil engineering en
dc.subject.other Computer simulation en
dc.subject.other Dynamic analysis en
dc.subject.other Earthquakes en
dc.subject.other Engineering geology en
dc.subject.other Geometry en
dc.subject.other Hardening en
dc.subject.other Model structures en
dc.subject.other Monte Carlo methods en
dc.subject.other Rotation en
dc.subject.other Seismic waves en
dc.subject.other Sensitivity analysis en
dc.subject.other Uncertainty analysis en
dc.subject.other accuracy assessment en
dc.subject.other computer simulation en
dc.subject.other dynamic analysis en
dc.subject.other earthquake engineering en
dc.subject.other Monte Carlo analysis en
dc.subject.other multistorey building en
dc.subject.other performance assessment en
dc.subject.other sampling en
dc.subject.other seismic response en
dc.subject.other sensitivity analysis en
dc.subject.other steel structure en
dc.subject.other structural analysis en
dc.subject.other uncertainty analysis en
dc.title Incremental dynamic analysis for estimating seismic performance sensitivity and uncertainty en
heal.type journalArticle en
heal.identifier.primary 10.1002/eqe.935 en
heal.identifier.secondary http://dx.doi.org/10.1002/eqe.935 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract Incremental dynamic analysis (IDA) is presented as a powerful tool to evaluate the variability in the seismic demand and capacity of non-deterministic structural models, building upon existing methodologies of Monte Carlo simulation and approximate moment-estimation. A nine-story steel moment-resisting frame is used as a testbed, employing parameterized moment-rotation relationships with non-deterministic quadrilinear backbones for the beam plastic-hinges. The uncertain properties of the backbones include the yield moment, the post-yield hardening ratio, the end-of-hardening rotation, the slope of the descending, branch, the residual moment capacity and the ultimate rotation reached. IDA is employed to accurately assess the seismic performance of the model for any combination of the parameters by performing Multiple nonlinear timehistory analyses for a suite of ground motion records. Sensitivity analyses on both the IDA and the static pushover level reveal the yield moment and the two rotational-ductility parameters to be the most influential for the frame behavior. To propagate the parametric uncertainty to the actual seismic performance we employ (a) Monte Carlo simulation with latin hypercube sampling, (b) point-estimate and (c) first-order second-moment techniques, thus offering competing methods that represent different compromises between speed and accuracy. The final results provide firm ground for challenging current assumptions in seismic guidelines on using a median-parameter model to estimate the median seismic performance and employing the well-known square-root-sum-of-squares rule to combine aleatory randomness and epistemic uncertainty. Copyright (C) 2009 John Wiley & Sons, Ltd. en
heal.publisher JOHN WILEY & SONS LTD en
heal.journalName Earthquake Engineering and Structural Dynamics en
dc.identifier.doi 10.1002/eqe.935 en
dc.identifier.isi ISI:000274174700002 en
dc.identifier.volume 39 en
dc.identifier.issue 2 en
dc.identifier.spage 141 en
dc.identifier.epage 163 en


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