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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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URI: http://purl.tuc.gr/dl/dias/3FCF41A4-2A60-4947-B1CB-EF16C3BBB6C1
Year 2006
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation M.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/s11081-006-6591-4 https://doi.org/10.1007/s11081-006-6591-4
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Summary

An 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.

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