2015
DOI: 10.1007/s00707-015-1494-0
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Direct meshless local Petrov–Galerkin method for elastodynamic analysis

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Cited by 22 publications
(7 citation statements)
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“…In [45], DMLPG method is applied for solving a two-dimensional time fractional advection-diffusion equation. An application to elastodynamic analysis can be found in [37]. Moreover, for the first time, in [39] Mirzaei and Schaback applied DMLPG for solving time-dependent problems.…”
Section: A Brief Review Of the Dmlpg Methodsmentioning
confidence: 98%
“…In [45], DMLPG method is applied for solving a two-dimensional time fractional advection-diffusion equation. An application to elastodynamic analysis can be found in [37]. Moreover, for the first time, in [39] Mirzaei and Schaback applied DMLPG for solving time-dependent problems.…”
Section: A Brief Review Of the Dmlpg Methodsmentioning
confidence: 98%
“…Eventually the nodal displacement function can be expressed by substituting equations (11) and (13) into equation 2:…”
Section: Composite Shape Functions Based Onmentioning
confidence: 99%
“…Meshfree methods only employ nodes to discretize the problem domain and therefore are immune to mesh distortion problems. ey are suitable for solving complex practical problems such as large deformation, fracture propagation simulation, and impact-induced failure [6][7][8][9][10][11][12][13][14][15]. However, there exist important drawbacks for meshfree methods, such as the essential boundary condition implementation handicap, high computational cost, and complex trial function construction process, thereby giving rise to several hybrid schemes to enhance the applicability of meshfree methods.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, some significant developments in meshless methods for solving linear and nonlinear partial differential equations have been achieved. For instance, the meshless local Petrov-Galerkin and local boundary integral equations methods were studied in [4,21,31]. These two methods basically transformed the original problem into a local weak formulation, and the shape functions were constructed from using the moving least-squares approximation to interpolate the solution variables.…”
Section: Introductionmentioning
confidence: 99%