ROBUST AND EFFICIENT METHODS FOR RELIABILITY BASED STRUCTURAL OPTIMIZATION

Tsompanakis, Y; Papadrakakis, M

dc.contributor.author	Tsompanakis, Y	en
dc.contributor.author	Papadrakakis, M	en
dc.date.accessioned	2014-03-01T01:49:32Z
dc.date.available	2014-03-01T01:49:32Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25837
dc.relation.uri	http://users.civil.ntua.gr/papadrakakis/files/papers/Rel-opt1.pdf	en
dc.subject	Evolution Strategy	en
dc.subject	Hybrid Method	en
dc.subject	Importance Sampling	en
dc.subject	Large Scale	en
dc.subject	Large Scale Optimization	en
dc.subject	Monte Carlo Simulation	en
dc.subject	Parallel Computer	en
dc.subject	Preconditioned Conjugate Gradient	en
dc.subject	Reliability Analysis	en
dc.subject	Sample Size	en
dc.subject	Structure Optimization	en
dc.title	ROBUST AND EFFICIENT METHODS FOR RELIABILITY BASED STRUCTURAL OPTIMIZATION	en
heal.type	journalArticle	en
heal.publicationDate	2000	en
heal.abstract	In this paper a robust and efficient methodology is presented for treating large- scale reliability-based, structural optimization problems. The optimization part is performed with evolution strategies, while the reliability analysis is carried out with the Monte Carlo simulation method incorporating the importance sampling technique for the reduction of the sample size. Efficient hybrid methods are implemented for the solution of	en