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Defect identification in 3-D elastostatics using a genetic algorithm
Abstract 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.
Defect identification in 3-D elastostatics using a genetic algorithm
Abstract 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.
Defect identification in 3-D elastostatics using a genetic algorithm
Engelhardt, Marek (Autor:in) / Schanz, Martin (Autor:in) / Stavroulakis, Georgios E. (Autor:in) / Antes, Heinz (Autor:in)
Optimization and Engineering ; 7 ; 63-79
01.03.2006
17 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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