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Conference Paper: Stochastic simulation based reliability analysis with multiple performance objective functions

TitleStochastic simulation based reliability analysis with multiple performance objective functions
Authors
KeywordsStochastic process
Subset simulation
Monte Carlo simulation
Reliability
Issue Date2015
PublisherSpringer.
Citation
Structural Engineering Convention (SEC) 2014, Delhi, India, 22-24 December 2014. In Advances in Structural Engineering: Materials, Volume Three, 2015, p. 2525-2531 How to Cite?
Abstract© Springer India 2015. In this paper, a stochastic simulation approach is proposed to estimate small failure probabilities of multiple limit states. The proposed approach allows for the simultaneous consideration of multiple performance functions and the corresponding thresholds. The approach modifies the stochastic subset simulation algorithm that can efficiently compute small failure probabilities. The proposed approach is robust with respect to the dimension of the failure probability integral, model complexity and nonlinearity. The effectiveness and efficiency of the proposed method are illustrated by a numerical example involving a structural dynamic system subjected to future earthquake excitations modeled as a stochastic process and the results are compared to those obtained using crude Monte Carlo simulation.
Persistent Identifierhttp://hdl.handle.net/10722/296110
ISBN

 

DC FieldValueLanguage
dc.contributor.authorBansal, Sahil-
dc.contributor.authorCheung, Sai Hung-
dc.date.accessioned2021-02-11T04:52:51Z-
dc.date.available2021-02-11T04:52:51Z-
dc.date.issued2015-
dc.identifier.citationStructural Engineering Convention (SEC) 2014, Delhi, India, 22-24 December 2014. In Advances in Structural Engineering: Materials, Volume Three, 2015, p. 2525-2531-
dc.identifier.isbn9788132221869-
dc.identifier.urihttp://hdl.handle.net/10722/296110-
dc.description.abstract© Springer India 2015. In this paper, a stochastic simulation approach is proposed to estimate small failure probabilities of multiple limit states. The proposed approach allows for the simultaneous consideration of multiple performance functions and the corresponding thresholds. The approach modifies the stochastic subset simulation algorithm that can efficiently compute small failure probabilities. The proposed approach is robust with respect to the dimension of the failure probability integral, model complexity and nonlinearity. The effectiveness and efficiency of the proposed method are illustrated by a numerical example involving a structural dynamic system subjected to future earthquake excitations modeled as a stochastic process and the results are compared to those obtained using crude Monte Carlo simulation.-
dc.languageeng-
dc.publisherSpringer.-
dc.relation.ispartofAdvances in Structural Engineering: Materials, Volume Three-
dc.subjectStochastic process-
dc.subjectSubset simulation-
dc.subjectMonte Carlo simulation-
dc.subjectReliability-
dc.titleStochastic simulation based reliability analysis with multiple performance objective functions-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-81-322-2187-6_194-
dc.identifier.scopuseid_2-s2.0-84943389063-
dc.identifier.spage2525-
dc.identifier.epage2531-
dc.publisher.placeNew Delhi-

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