2019
DOI: 10.1016/j.enganabound.2019.05.030
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Quasi-static analysis of mixed-mode crack propagation using the meshless local Petrov–Galerkin method

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Cited by 19 publications
(7 citation statements)
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“…Substitute Equations ( 27), (32) and (35) into Equation (15), then consider the arbitrary of δ . U(z) T .…”
Section: U(z)mentioning
confidence: 99%
See 1 more Smart Citation
“…Substitute Equations ( 27), (32) and (35) into Equation (15), then consider the arbitrary of δ . U(z) T .…”
Section: U(z)mentioning
confidence: 99%
“…Unlike conventional mesh-based numerical methods [10,11], the meshless method is built on discrete nodes, which does not cause mesh distortion. Therefore, the meshless method is more suitable for nonlinear large deformation and fracture problems, as well as complicated porous structures [12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…Compared with the XFEM, the MLM improves the continuity of the interpolation [ 21 , 22 ]; however, it is difficult to apply the essential boundary conditions because the shape functions do not meet the nature of the Kronecker delta function [ 23 , 24 ]. Other MLMs, such as mesh-less local Petrov–Galerkin [ 25 ], partition of unity method [ 26 ] and so on, also have their own limitations in terms of long calculation time and efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…Belytschko et al proposed the popular element free Galerkin method (EFGM), in which the EFGM error estimation is given to make in-depth study on the numerical integration scheme, thereby laying the mathematical foundation of the method (Belytschko et al, 1994;Ventura et al, 2002). The meshless method is mainly suitable for solving deformation analysis of jointed rock mass (Hajiazizi and Graili, 2018), fluid-structure interactions (Hu et al, 2019), fracture analysis (Memari and Mohebalizadeh, 2019), diffusion problem (Tayefi et al, 2018) and large deformation problem (Lin et al, 2014), etc. This method has been widely used in multiple fields (Wang, 2012;Belytschko et al, 1995;Fouaidi et al, 2019;Li and Belytschko, 2001).…”
Section: Introductionmentioning
confidence: 99%