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An efficient and quadratic accurate linear-gradient smoothing integration scheme for meshfree Galerkin methods

机译:用于网格免费Galerkin方法的高效和二次准确的线性梯度平滑整合方案

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To address domain integration of meshfree Galerkin methods with quadratic base, we propose an efficient and accurate linear-gradient smoothing integration (LGSI) scheme in this study. In our scheme, the smoothed gradient is expressed as the linear polynomial form with respect to the center of the smoothing domain by means of Taylor's expansion. The unknown coefficients can be uniquely determined in terms of the smoothed gradient technique, which is low-cost because it transforms the complex domain integration into its boundary integration. The LGSI is also simple because there is no need to correct test functions and introduce additional computational costs. The integration error of the LGSI scheme for the stiffness matrix in the 2D case is proved. Consequently, the LGSI is exact with respect to the quadratic meshfree Galerkin method. Numerical examples demonstrated the performance of the LGSI scheme for solving the 2D anisotropy potential and elasticity problems as well as the 3D potential problem.
机译:通过二次基础解决MeshFree Galerkin方法的域集成,我们提出了本研究中有效和准确的线性梯度平滑积分(LGSI)方案。在我们的方案中,平滑梯度通过泰勒的扩展表示相对于平滑域的中心的线性多项式形式。在平滑的梯度技术方面,可以唯一地确定未知系数,这是低成本的,因为它将复杂域集成转换为边界集成。 LGSI也很简单,因为无需纠正测试功能并引入额外的计算成本。证明了2D案例中刚度矩阵LGSI方案的集成误差。因此,LGSI是关于二次网格免疫Galerkin方法的精确性。数值示例证明了用于解决2D各向异性电位和弹性问题以及3D潜在问题的LGSI方案的性能。

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