2019
DOI: 10.1016/j.ijsolstr.2019.06.001
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The generalized finite difference method for the inverse Cauchy problem in two-dimensional isotropic linear elasticity

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Cited by 46 publications
(12 citation statements)
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“…Thanks to this spare system, this method is highly efficient and suitable for the numerical simulations of large-scale problems. Many physical applications have been addressed by the GFDM, such as the thin elastic plate bending analysis [49], the electroelastic analysis of 3D piezoelectric structures [50], the acoustic wave propagation [51], the inverse Cauchy problem in 2D elasticity [52], the heat conduction problems [53], and the stationary flow in a dam [54].…”
Section: Introductionmentioning
confidence: 99%
“…Thanks to this spare system, this method is highly efficient and suitable for the numerical simulations of large-scale problems. Many physical applications have been addressed by the GFDM, such as the thin elastic plate bending analysis [49], the electroelastic analysis of 3D piezoelectric structures [50], the acoustic wave propagation [51], the inverse Cauchy problem in 2D elasticity [52], the heat conduction problems [53], and the stationary flow in a dam [54].…”
Section: Introductionmentioning
confidence: 99%
“…The local methods compute the solutions at particular points; in contrast, the global ones obtain the solutions overall the problem domain 6,7 . For example, the finite element and finite difference methods are local, 8‐13 while the spectral methods are global 14‐18 . The spectral methods gained importance due to their high convergence speed, accuracy, and applicability to either bounded or unbounded domains 16‐19 .…”
Section: Introductionmentioning
confidence: 99%
“…The local methods listed the approximate solution at specific points, while the global methods give the approximate solution in whole the mentioned interval. The numerical approximations for differential equations [1][2][3][4] are listed at specific points using finite difference methods. While the finite element methods subdivide the whole interval into subintervals and give the approximate solution in them.…”
Section: Introductionmentioning
confidence: 99%