2005
DOI: 10.1007/s00466-005-0709-y
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Crack and flaw identification in elastodynamics using Kalman filter techniques

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.

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Cited by 11 publications
(5 citation statements)
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References 19 publications
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“…Besides, these problems can have several local minima (multiple solutions), and thus a global optimization method (such as GA) is a better choice for the numerical solution (Engelhardt et al, 2006;. On the other hand, GA uses multiple points to search for the solution, rather than a single point, and a global minimum has a better chance of being obtained.…”
Section: Detection Of Holes In a Plate Using Global Optimization And ...mentioning
confidence: 99%
See 1 more Smart Citation
“…Besides, these problems can have several local minima (multiple solutions), and thus a global optimization method (such as GA) is a better choice for the numerical solution (Engelhardt et al, 2006;. On the other hand, GA uses multiple points to search for the solution, rather than a single point, and a global minimum has a better chance of being obtained.…”
Section: Detection Of Holes In a Plate Using Global Optimization And ...mentioning
confidence: 99%
“…Classical calculus-based optimization methods require evaluation of derivatives of the objective function, which may not be possible to be obtained, or may be numerically obtained, with unacceptable inaccuracy. These problems can also have several local minima (multiple solutions), and thus a global optimization method is a better choice for the numerical solution Stavroulakis and Antes [1998], Engelhardt et al [2006].…”
Section: Introductionmentioning
confidence: 99%
“…We will demonstrate the discretization process based on the mixed form of the beam bending equations, Equations (1) and (2). Here, we begin by assuming that w and M are approximated in the usual manner by appropriate shape functions and unknown parameters: , e e w M = = Nw NM (3) where N represents element shape functions and w e and M e are the nodal parameters to be determined. Higher order functions can be used for shape functions, but the same linear shape functions were used for w e and M e to simplify the calculation.…”
Section: Formulation Of Mixed Beam Elementmentioning
confidence: 99%
“…Using the same methods, Paruch and Majchrzak [18] were able to determine the location, dimension and thermophysical properties of tumors in two-and three-dimensional geometries. By applying dynamic loads to a two-dimensional geometry and measuring the strain at different times, Engelhardt et al [19] successfully determined the location and dimension of a crack. They used BEM, and the Kalman filter technique.…”
Section: Introductionmentioning
confidence: 99%