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Interpolating meshless local Petrov-Galerkin method for steady state heat conduction problem

机译:内插无网格局部Petrov-Galerkin方法求解稳态导热问题

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In many meshfree methods, moving least squares scheme (MLS) has been used to generate meshfree shape functions. Imposition of Dirichlet boundary conditions is difficult task in these methods as the MLS approximation is devoid of Kronecker delta property. A new variant of the MLS approximation scheme, namely interpolating moving least squares scheme, possesses Kronecker delta property. In the current work, a novel interpolating meshless local Petrov-Galerkin (IMLPG) method has been developed based on the interpolating MLS approximation for two and three dimensional steady state heat conduction in regular and complex domain. The interpolating MLPG method shows two advantages over standard meshless local Petrov-Galerkin (MLPG) method i.e. higher computational efficiency and ease to impose EBCs at similar accuracy level. Performance of three different test functions in-conjunction with interpolating MLPG method has been shown.
机译:在许多无网格方法中,移动最小二乘方案(MLS)已用于生成无网格形状函数。在这些方法中,强加Dirichlet边界条件是一项艰巨的任务,因为MLS近似缺乏Kroneckerδ属性。 MLS近似方案的一个新变体,即插值移动最小二乘方案,具有Kronecker delta属性。在当前工作中,基于规则和复杂域中二维和三维稳态热传导的内插MLS近似,已经开发了一种新颖的内插无网格局部Petrov-Galerkin(IMLPG)方法。内插MLPG方法显示出优于标准无网格局部Petrov-Galerkin(MLPG)方法的两个优点,即更高的计算效率和易于以相似的准确度强加EBC。结合插值MLPG方法,已经显示了三种不同测试功能的性能。

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