2013
DOI: 10.1016/j.enganabound.2013.08.004
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Boundary element methods for boundary condition inverse problems in elasticity using PCGM and CGM regularization

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Cited by 11 publications
(5 citation statements)
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“…Based on inverse problem, Zhou et al proposed a boundary element method to solve the boundary condition in lasticity using PCGM and CGM regularization. The numerical results confirm that this method produced convergent and stable numerical solutions [15]. Bustillo et al presented a method for ultrasonic characterization of porous silicon in which a genetic algorithm-based optimization is used to solve the inverse problem [16].…”
Section: Introductionmentioning
confidence: 59%
See 1 more Smart Citation
“…Based on inverse problem, Zhou et al proposed a boundary element method to solve the boundary condition in lasticity using PCGM and CGM regularization. The numerical results confirm that this method produced convergent and stable numerical solutions [15]. Bustillo et al presented a method for ultrasonic characterization of porous silicon in which a genetic algorithm-based optimization is used to solve the inverse problem [16].…”
Section: Introductionmentioning
confidence: 59%
“…The given fairing accuracy of this curve is = 0.02 mm. The primitive curve is a space curve determined by formula (15) and is shown in…”
Section: Accuracy Analysis Of Multiresolutionmentioning
confidence: 99%
“…The PCGM is an iterative regularization method to solve the linear algebraic equation, and it is one of the most effective methods [23,24]. For the ill-posed linear algebraic equation Ax b  , we have the computation procedure as follows .…”
Section: The Preconditioned Conjugate Gradient Methods (Pcgm)mentioning
confidence: 99%
“…This inverse method selected the strains at the internal points as the additional information and was believed to be applicable for the reconstruction of the residual stress and contact stress. Based on the BEM, Zhou et al utilized the preconditioned conjugate gradient method (PCGM) to determine the unknown boundary conditions by the displacements of the internal points [19]. The numerical results indicated that the PCGM was able to acquire reliable solutions.…”
Section: Introductionmentioning
confidence: 99%