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Robust seismic design optimization of steel structures

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dc.contributor.author Lagaros, ND en
dc.contributor.author Papadrakakis, M en
dc.date.accessioned 2014-03-01T01:27:08Z
dc.date.available 2014-03-01T01:27:08Z
dc.date.issued 2007 en
dc.identifier.issn 1615-147X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18334
dc.subject Greek national seismic design code en
dc.subject Limit state cost en
dc.subject Robust design optimization en
dc.subject Steel structures en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.classification Engineering, Multidisciplinary en
dc.subject.classification Mechanics en
dc.subject.other Building codes en
dc.subject.other Computer simulation en
dc.subject.other Problem solving en
dc.subject.other Random processes en
dc.subject.other Structural design en
dc.subject.other Structural optimization en
dc.subject.other Cross-sectional dimensions en
dc.subject.other Greek national seismic design codes en
dc.subject.other Limit state costs en
dc.subject.other Reliability-based design optimization (RBDO) en
dc.subject.other Steel structures en
dc.title Robust seismic design optimization of steel structures en
heal.type journalArticle en
heal.identifier.primary 10.1007/s00158-006-0047-5 en
heal.identifier.secondary http://dx.doi.org/10.1007/s00158-006-0047-5 en
heal.language English en
heal.publicationDate 2007 en
heal.abstract Stochastic performance measures can be taken into account, in structural optimization, using two distinct formulations: robust design optimization (RDO) and reliability-based design optimization (RBDO). According to a RDO formulation, it is desired to obtain solutions insensitive to the uncontrollable parameter variation. In the present study, the solution of a structural robust design problem formulated as a two-objective optimization problem is addressed, where cross-sectional dimensions, material properties and earthquake loading are considered as random variables. Additionally, a two-objective deterministic-based optimization (DBO) problem is also considered. In particular, the DBO and RDO formulations are employed for assessing the Greek national seismic design code for steel structural buildings with respect to the behavioral factor considered. The limit-state-dependent cost is used as a measure of assessment. The stochastic finite element problem is solved using the Monte Carlo Simulation method, while a modified NSGA-II algorithm is employed for solving the two-objective optimization problem. © Springer-Verlag 2007. en
heal.publisher SPRINGER en
heal.journalName Structural and Multidisciplinary Optimization en
dc.identifier.doi 10.1007/s00158-006-0047-5 en
dc.identifier.isi ISI:000246521500003 en
dc.identifier.volume 33 en
dc.identifier.issue 6 en
dc.identifier.spage 457 en
dc.identifier.epage 469 en


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