2017
DOI: 10.1016/j.tafmec.2016.10.004
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Accurate and efficient analysis of stationary and propagating crack problems by meshless methods

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Cited by 79 publications
(19 citation statements)
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“…The meshfree radial point interpolation method (RPIM) is very well suited for analysis of crack propagation problems since it is accurate and computationally efficient, and, unlike the finite element method, does not require mesh generation at each step of crack propagation. [29][30][31] For the inverse analysis, the density clustering method 32 is adopted for the global optimization approach and the damped Gauss-Newton method is used for the local search algorithm. It is shown through two example problems that the proposed procedure fits very well for the load identification of a component fractured along a known path.…”
Section: Introductionmentioning
confidence: 99%
“…The meshfree radial point interpolation method (RPIM) is very well suited for analysis of crack propagation problems since it is accurate and computationally efficient, and, unlike the finite element method, does not require mesh generation at each step of crack propagation. [29][30][31] For the inverse analysis, the density clustering method 32 is adopted for the global optimization approach and the damped Gauss-Newton method is used for the local search algorithm. It is shown through two example problems that the proposed procedure fits very well for the load identification of a component fractured along a known path.…”
Section: Introductionmentioning
confidence: 99%
“…18,19 In the last years, several models are developed in order to calculate the dynamic stress intensity factor of two-dimensional fracture problems. [20][21][22][23][24] However, these works are not considering the effect of crack velocity on the crack growth simulations.…”
Section: Introductionmentioning
confidence: 99%
“…However, the construction of shape functions is usually very complex in most of the existing meshfree methods and the implementation of essential boundary conditions is also difficult. 2931…”
Section: Introductionmentioning
confidence: 99%
“…However, the construction of shape functions is usually very complex in most of the existing meshfree methods and the implementation of essential boundary conditions is also difficult. [29][30][31] To tackle these drawbacks of meshfree methods, Liu and Gu 32 introduced a point interpolation method (PIM) in the early 2000s. 32 In the PIM, shape functions are easily constructed by polynomial interpolation, which possess delta function property.…”
Section: Introductionmentioning
confidence: 99%