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Crack and flaw identification in elastodynamics using Kalman filter techniques
Authors:Marek Engelhardt  Georgios E Stavroulakis  Heinz Antes
Affiliation:(1) Institute of Applied Mechanics, Department of Civil Engineering, Technical University of Braunschweig, Braunschweig, Germany;(2) Institute of Mechanics, Department of Mathematics, University of Ioannina, Ioannina, Greece;(3) Institute of Applied Mechanics, Department of Civil Engineering, Technical University of Braunschweig, Braunschweig, Germany
Abstract:Filter-driven optimization based on the extended Kalman filter concept is used here for the numerical solution of crack and flaw identification problems in elastodynamics. The mechanical modeling of the studied two-dimensional problem, which includes the effect of unilateral contact along the sides of the crack, is done with the help of the boundary element method. The effect of various dynamical test loads and the applicability of this method for crack and defect identification in disks are investigated. The work has been supported by the German Research Foundation (DFG). Partial support has been provided by a Greek-German Research Cooperation Grant (IKYDA2001). This support is greatfully acknowledged.
Keywords:Inverse Problems  Kalman Filters  Crack Identification
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