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Numerical study of the shape parameter dependence of the local radial point interpolation method in linear elasticity

机译:线弹性中局部径向点插值法形状参数依赖性的数值研究

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Highlights ? The LRPIM is derived from the local weak form of the equilibrium equations for solving a thin elastic plate. ? The method LRPIM is used the trial and test functions in the weak form. ? Convergence of the LRPIM depends on number of parameters derived from local weak form and sub-domains. ? The effect of distributions nodes number by varying nature of material and the RBF-TPS. ? The calculated results are compared with the analytical solution of the deflection. Abstract The method LRPIM is a Meshless method with properties of simple implementation of the essential boundary conditions and less costly than the moving least squares (MLS) methods. This method is proposed to overcome the singularity associated to polynomial basis by using radial basis functions. In this paper, we will present a study of a 2D problem of an elastic homogenous rectangular plate by using the method LRPIM. Our numerical investigations will concern the influence of different shape parameters on the domain of convergence,accuracy and using the radial basis function of the thin plate spline. It also will presents a comparison between numerical results for different materials and the convergence domain by precising maximum and minimum values as a function of distribution nodes number. The analytical solution of the deflection confirms the numerical results. The essential points in the method are: ? The LRPIM is derived from the local weak form of the equilibrium equations for solving a thin elastic plate. ? The convergence of the LRPIM method depends on number of parameters derived from local weak form and sub-domains. ? The effect of distributions nodes number by varying nature of material and the radial basis function (TPS).
机译:强调 ? LRPIM是从求解薄弹性板的平衡方程的局部弱形式得出的。 ? LRPIM方法用于测试形式的弱函数。 ? LRPIM的收敛性取决于从局部弱形式和子域派生的参数数量。 ?分布节点数的影响是由于材料和RBF-TPS的性质不同而引起的。 ?将计算结果与挠度的解析解进行比较。摘要LRPIM方法是一种无网格方法,具有简单实现基本边界条件且比移动最小二乘法(MLS)便宜的特点。为克服与径向基函数相关的多项式奇异性,提出了该方法。在本文中,我们将使用LRPIM方法对弹性均质矩形板的二维问题进行研究。我们的数值研究将关注不同形状参数对薄板样条的收敛性,准确性和使用径向基函数的影响。通过将最大值和最小值指定为分布节点数的函数,还将比较不同材料的数值结果和收敛域。挠度的解析解证实了数值结果。该方法的要点是: LRPIM是从求解薄弹性板的平衡方程的局部弱形式得出的。 ? LRPIM方法的收敛性取决于从局部弱形式和子域派生的参数数量。 ?分布节点数的影响是通过改变材料的性质和径向基函数(TPS)来实现的。

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