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The generalized finite point method

机译:广义有限点法

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In this paper we propose a new mesh-less method based on a sub-domain collocation approach. By reducing the size of the sub-domains the method becomes similar to the well-known finite point method (FPM) and thus it can be regarded as the generalized form of finite point method (GFPM). However, unlike the FPM, the equilibrium equations are weakly satisfied on the sub-domains. It is shown that the accuracy of the results is dependent on the sizes of the sub-domains. To find an optimal size for a sub-domain we propose a patch test procedure in which a set of polynomials of higher order than those chosen for the approximations/interpolations are used as the exact solution and a suitable error norm is minimized through a size tuning procedure. In this paper we have employed the GFPM in elasto-static problems. We give the results of the size optimization in a series of tables for further use. Also the results of the integrations on a generic sub-domain are given as a series of library functions for those who want to use GFPM as a cheap and fast integral-based mesh-less method. The performance of GFPM has been demonstrated by solving several sample problems.
机译:在本文中,我们提出了一种基于子域配置方法的新的无网格方法。通过减小子域的大小,该方法变得类似于众所周知的有限点方法(FPM),因此可以将其视为有限点方法(GFPM)的通用形式。但是,与FPM不同,在子域上很难满足平衡方程。结果表明,结果的准确性取决于子域的大小。为了找到一个子域的最佳大小,我们提出了一个补丁测试程序,其中使用比为近似/插值选择的多项式更高阶的多项式作为精确解,并通过大小调整来最小化合适的误差范数程序。在本文中,我们将GFPM用于弹性静力问题。我们在一系列表中给出了大小优化的结果,以供进一步使用。对于希望将GFPM用作便宜且快速的基于积分的无网格方法的用户,将通用子域上的集成结果作为一系列库函数给出。 GFPM的性能已经通过解决几个样本问题得到了证明。

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