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Application of An a priori Jacobian-based Error Estimation Metric to the Accuracy Assessment of 3D Finite Element Simulations

机译:基于先验的Jacobian的误差估计度量在3D有限元模拟的准确性评估中的应用

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The determinant of the Jacobian matrix is frequently used in the Finite Element Method as a measure of mesh quality. A new metric is defined, called the Standard Error, based on the distribution of the determinants of the Jacobian matrices of all elements of a finite element mesh. Where the Jacobian norm can be used to compare the quality of one element to another of the same type, the Standard Error compares the mesh quality of different versions of a finite element model where each version uses a different element type. To motivate this new Standard Error, we investigate the geometric meaning of the Jacobian norm on 3D Finite Elements. This mesh quality metric is applied to 8, 20, and 27 node hexahedra, 6 and 15 node prisms, 4 and 10 node tetrahedra, 5 and 13 node pyramid, and 3, 4, 6, 8, and 9 node shell elements. The shape functions for these 14 element types, or more precisely their first partial derivatives, are used to construct the Jacobian Matrix. The matrix is normalized to compensate for size. The determinant of the Jacobian is calculated at Gaussian points within each element. Statistics are gathered to form the Standard Error of the mesh. To illustrate the applicability of this a priori metric, we present two simple example problems having exact answers, and two industry-type problems, a pipe elbow with a crack and a magnetic resonance imaging (MRI) birdcage RF coil resonance, both having no analytical solution. Significance and limitations of using this a priori metric to assess the accuracy of finite element simulations of different mesh designs are presented and discussed.
机译:雅可比矩阵的行列式在有限元方法经常被用作网格质量的量度。一种新的度量被定义,被称为标准误差,基于有限元网格的所有元素的Jacobian矩阵的决定因素的分布。其中雅可比准则可用于将一个元件的质量比较到另一个相同类型的,标准误差比较不同的版本,其中每个版本使用不同的元件类型的有限元模型的网格质量。为了激励这个新的标准错误,我们研究了三维有限元雅可比标准的几何意义。此网状质量度量应用到8,20和27的节点六面体,6个15的节点棱镜,4和10节点四面体,第5和13节点金字塔,和3,4,6,8,和9个中节点壳元素。这些元件14点的类型,或更精确地他们的第一偏导数的形状的功能,用于构造的雅可比矩阵。矩阵进行归一化以补偿尺寸。雅可比行列式在每个元件内的高斯点计算。统计聚集,形成网状的标准误差。为了说明的这个先验度量,我们提出具有确切的答案两个简单的例子的问题,以及两个工业型的问题,一个管弯头与裂纹和磁共振成像(MRI)鸟笼RF线圈共振,两者都具有没有分析的适用性解决方案。意义和使用该先验度量来评估不同的网格设计的有限元模拟的准确性的限制介绍和讨论。

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