Recent advances in reliability-based structural optimization under earthquake loading

Tsompanakis, Y; Lagaros, N; Fragiadakis, M; Papadrakakis, M

dc.contributor.author	Tsompanakis, Y	en
dc.contributor.author	Lagaros, N	en
dc.contributor.author	Fragiadakis, M	en
dc.contributor.author	Papadrakakis, M	en
dc.date.accessioned	2014-03-01T01:54:20Z
dc.date.available	2014-03-01T01:54:20Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27325
dc.subject	Approximation Scheme	en
dc.subject	Artificial Neural Network	en
dc.subject	Evolution Strategy	en
dc.subject	Evolutionary Computing	en
dc.subject	Large Scale	en
dc.subject	Monte Carlo	en
dc.subject	Monte Carlo Simulation	en
dc.subject	Optimization Problem	en
dc.subject	Pushover Analysis	en
dc.subject	Reliability Analysis	en
dc.subject	Structure Optimization	en
dc.title	Recent advances in reliability-based structural optimization under earthquake loading	en
heal.type	journalArticle	en
heal.publicationDate	2005	en
heal.abstract	1. Abstract In this paper a robust and efficient methodology is presented for treating large-scale reliability-based, structural optimization problems under seismic loads using the pushover analysis method. The optimization problem is solved with the Evolution Strategies method, while the reliability analysis is carried out with the Monte Carlo simulation method. In order to reduce the excessive computational cost of the	en