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Defect identification in 3-D elastostatics using a genetic algorithm

Stavroulakis Georgios, Marek Engelhardt, Heinz Antes, Martin Schanz

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URIhttp://purl.tuc.gr/dl/dias/3FCF41A4-2A60-4947-B1CB-EF16C3BBB6C1-
Identifierhttps://doi.org/10.1007/s11081-006-6591-4-
Languageen-
Extent16 pagesen
TitleDefect identification in 3-D elastostatics using a genetic algorithmen
CreatorStavroulakis Georgiosen
CreatorΣταυρουλακης Γεωργιοςel
CreatorMarek Engelhardten
CreatorHeinz Antesen
CreatorMartin Schanzen
PublisherKluweren
Content SummaryAn inverse problem in engineering mechanics is considered where the position and the geometry of three-dimensional, ellipsoidal defects are identified by using measurements of the mechanical response under static loading on the external surface of the structure. The problem is solved by appropriate combination of genetic optimization (GO) and boundary element method (BEM) and following previously published two-dimensional problems. The three-dimensional case presents some additional difficulties. Furthermore, the function of several genetic operators and the effect of the parameters of genetic optimization on the efficiency of the solution has been numerically examined.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-11-
Date of Publication2006-
SubjectAnalytical geometryen
Subjectgeometry analyticen
Subjectanalytical geometryen
Bibliographic CitationM.Engelhardt, M. Schanz, G. E. Stavroulakis , H. Antes,"Defect identification in 3-D elastostatics using a genetic algorithm ,"Optim. and Engin., vol. 7, no.1, pp. 63-79,March 2006.doi:10.1007/s11081-006-6591-4en

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