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The complex variable meshless local Petrov-Galerkin method for elasticity problems of functionally graded materials

机译:功能梯度材料弹性问题的复变量无网格局部Petrov-Galerkin方法

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This paper proposed the complex variable meshless local Petrov-Galerkin (CVMLPG) method for the static analysis of functionally graded materials (FGMs). In the presented method, the complex variable moving least-square (CVMLS) approximation, which is established based on the moving least-square (MLS) approximation by introducing the complex variable theory, is adopted for construction of the field approximation function. Compared with the conventional MLS method, the number of the unknown coefficients in the trial function of the CVMLS method is less than that of the MLS approximation, thus higher efficiency and accuracy can be achieved under the same node distributions. One advantage of the CVMLPG method for the FGMs is that the variations of the functionally graded material properties are simulated by using material parameters at Gauss points, so it totally avoids the issue of the assumption of homogeneous in each element in the finite element method (FEM) for the FGMs. Some of selected benchmark examples are considered to confirm the validity and accuracy of the proposed method. (C) 2015 Elsevier Inc. All rights reserved.
机译:针对功能梯度材料(FGM)的静态分析,本文提出了复杂变量无网格局部Petrov-Galerkin(CVMLPG)方法。在该方法中,通过引入复变量理论,基于运动最小二乘法(MLS)近似建立的复变量运动最小二乘(CVMLS)近似被用于构造场近似函数。与传统的MLS方法相比,CVMLS方法的试验函数中未知系数的数量少于MLS近似的数量,因此在相同的节点分布下可以实现更高的效率和精度。 CFMLPG方法用于FGM的一个优点是,通过使用高斯点处的材料参数来模拟功能梯度材料特性的变化,因此完全避免了有限元方法(FEM)中每个元素均质假设的问题)。考虑一些选定的基准示例,以确认所提出方法的有效性和准确性。 (C)2015 Elsevier Inc.保留所有权利。

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