2020
DOI: 10.1007/s10999-019-09484-8
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Geometrically nonlinear analysis of functionally graded materials based on reproducing kernel particle method

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Cited by 13 publications
(3 citation statements)
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“…26,27 The RKPM has modified the kernel function of the traditional smooth particle hydrodynamics (SPH) to satisfy the reconstruction condition, and the RKPM has the advantages of high accuracy. Liu et al 28 used the RKPM to solve geometrically nonlinear problems of functional gradient materials. Sadamoto et al 29 used the reproducing kernel approximation to describe the geometric shapes and deformations of flat shells, curved shells, and folded shells, and conducted meshless analysis of geometric nonlinearity under finite rotation.…”
Section: Introductionmentioning
confidence: 99%
“…26,27 The RKPM has modified the kernel function of the traditional smooth particle hydrodynamics (SPH) to satisfy the reconstruction condition, and the RKPM has the advantages of high accuracy. Liu et al 28 used the RKPM to solve geometrically nonlinear problems of functional gradient materials. Sadamoto et al 29 used the reproducing kernel approximation to describe the geometric shapes and deformations of flat shells, curved shells, and folded shells, and conducted meshless analysis of geometric nonlinearity under finite rotation.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with other meshfree methods, RKPM has advantages as follows 19,20 : (1) RKPM retains the advantages of free Lagrangian or SPH methods; (2) RKPM is more accurate than SPH due to the addition of the correction function; (3) RKPM is more efficient in computer implementation than diffuse element method and EFG. Therefore, RKPM has attracted many researchers to use it to solve many problems in different fields, such as material analysis, [30][31][32] fluid mechanics, 33,34 and structural engineering. [35][36][37] Chen et al 38 and Memar Ardestani et al 39 successfully used the RKPM to effectively analyze the bending problems of flat and ribbed plates.…”
Section: Introductionmentioning
confidence: 99%
“…Because of the advantages of simple form and fast calculation speed, the RKPM is one of the meshfree methods which are widely applied and researched [42][43][44]. The RKPM is first proposed based on the SPH and the integral reconstruction theory of functions.…”
Section: Introductionmentioning
confidence: 99%