Εμφάνιση απλής εγγραφής

dc.creatorJensen H., Papadimitriou C.en
dc.date.accessioned2023-01-31T08:28:52Z
dc.date.available2023-01-31T08:28:52Z
dc.date.issued2019
dc.identifier10.1007/978-3-030-12819-7_4
dc.identifier.issn16137736
dc.identifier.urihttp://hdl.handle.net/11615/74093
dc.description.abstractThe use of reduced-order models in the context of reliability analysis of dynamical systems under stochastic excitation is explored in this chapter. A stochastic excitation model based on a point-source model is introduced, and it is used for the generation of ground motions. The corresponding reliability analysis represents a high-dimensional reliability problem whose solution is carried out by an advanced simulation technique. Two application problems are considered in order to evaluate the effectiveness of the proposed model reduction technique. The first example consists of a two-dimensional frame structure, while the second example considers an involved nonlinear finite element building model. The results show that an important reduction in computational effort can be achieved without compromising the accuracy of the reliability estimates. © 2019, Springer Nature Switzerland AG.en
dc.language.isoenen
dc.sourceLecture Notes in Applied and Computational Mechanicsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85064714840&doi=10.1007%2f978-3-030-12819-7_4&partnerID=40&md5=857028904d6e025ffdc6c2e54c4a7d14
dc.subjectDynamical systemsen
dc.subjectStochastic modelsen
dc.subjectStochastic systemsen
dc.subjectAdvanced simulation techniquesen
dc.subjectHigh dimensional reliability problemsen
dc.subjectModel reduction techniquesen
dc.subjectNon-linear finite elementsen
dc.subjectReduced order modelsen
dc.subjectReliability estimatesen
dc.subjectStochastic excitation modelsen
dc.subjectStochastic excitationsen
dc.subjectReliability analysisen
dc.subjectSpringer Verlagen
dc.titleReliability analysis of dynamical systemsen
dc.typebookChapteren


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Εμφάνιση απλής εγγραφής