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p-Adaptive C k generalized finite element method for arbitrary polygonal clouds

机译:任意多边形云的p-自适应C k 广义有限元方法

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A p-Adaptive Generalized Finite Element Method (GFEM) based on a Partition of Unity (POU) of arbitrary smoothness degree is presented. The shape functions are built from the product of a Shepard POU and enrichment functions. Shepard functions have a smoothness degree directly related to the weighting functions adopted in their definition. Here the weighting functions are obtained from boolean R-functions which allow the construction of C k approximations, with k arbitrarily large, defined over a polygonal patch of elements, named cloud. The Element Residual Method is used to obtain error indicators by taking into account the typical nodal enrichment scheme of the method. This procedure is enhanced by using approximations with a high degree of smoothness as it eliminates the discontinuity of the stress field in the interior of each cloud. Adaptive analysis of plane elasticity problems are presented, and the performance of the technique is investigated.
机译:提出了一种基于任意光滑度的统一分区(POU)的p自适应广义有限元方法(GFEM)。形状函数是从Shepard POU和扩展函数的乘积构建的。 Shepard函数的平滑度与定义中采用的加权函数直接相关。在这里,加权函数是从布尔R函数获得的,布尔R函数允许构造C k近似值,其中k任意大,定义在称为云的多边形多边形上。通过考虑该方法的典型节点富集方案,可以使用元素残差法获得误差指标。通过使用高度平滑的近似值可以增强此过程,因为它消除了每个云内部的应力场的不连续性。提出了对平面弹性问题的自适应分析,并研究了该技术的性能。

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