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Large-scale reliability-based structural optimization

Yiannis Tsompanakis , Manolis Papadrakakis

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URIhttp://purl.tuc.gr/dl/dias/27F5B1C8-EB9B-4B29-A0EC-AE7F172DFE6F-
Identifierhttps://doi.org/10.1007/s00158-003-0369-5-
Languageen-
Extent12 pagesen
TitleLarge-scale reliability-based structural optimizationen
CreatorYiannis Tsompanakis en
Creator Manolis Papadrakakisen
Content SummaryA robust and efficient methodology is presented for treating large-scale reliability-based structural optimization problems. The optimization is performed with evolution strategies, while the reliability analysis is carried out with the Monte Carlo simulation method incorporating the importance sampling technique to reduce the sample size. Efficient hybrid methods are implemented to solve the reanalysis-type problems that arise in the optimization phase with evolution strategies and in the reliability analysis with Monte Carlo simulations. These hybrid solution methods are based on the preconditioned conjugate gradient algorithm using efficient preconditioning schemes. The numerical tests presented demonstrate the computational advantages of the proposed methods, which become more pronounced for large-scale optimization problems. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-08-
Date of Publication2004-
SubjectGreek mathematicsen
Subjectmathematics greeken
Subjectgreek mathematicsen
Bibliographic CitationY. Tsompanakis ,M. Papadrakakis ,"Large-scale reliability-based structural optimization,"Struct. and Multidis. Optim. ,vol . 26 ,no. 6 ,pp. 429-440. doi: 10.1007/s00158-003-0369-5 en

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