Defect identification in 3-D elastostatics using a genetic algorithm |
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| Authors: | Marek Engelhardt Martin Schanz Georgios E Stavroulakis Heinz Antes |
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| Affiliation: | (1) Institute of Applied Mechanics, Department of Civil Engineering, Technical University of Braunschweig, Germany;(2) Institute of Applied Mechanics, Department of Civil Engineering, Graz University of Technology, Austria;(3) Department of Production Engineering and Management, Technical University of Crete, GR-73100 Chania, Greece;(4) TU Braunschweig, Greece;(5) PD, TU Braunschweig, Greece |
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| 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. |
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| Keywords: | Defect identification Genetic optimization Elastostatics Shearography |
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