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An edge-based smoothed finite element method for the assessment of human exposure to extremely low frequency electric fields

机译:基于边缘的平滑有限元方法,用于评估人为低频电场

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This paper presents an edge-based smoothed finite element method (ES-FEM) for the assessment of human exposure to extremely low frequency (ELF) electric fields. The problem domain is first discretized into a set of four-node tetrahedral elements, and linear shape functions are employed to interpolate the field variables. Then, the smoothing domains are further formed with respect to the edges of elements. In order to improve the accuracy of lower order interpolation, a gradient smoothing technique (GST) is introduced to perform the electric potential gradient smoothing operation over each smoothing domain. Based on the generalized smoothed Galerkin weakform, the discretized system equations are finally obtained. Numerical examples, including both benchmark and practical complex cases, demonstrate that the present method possesses the following interesting properties in assessing human exposure to ELF electric fields: (1) super accuracy and faster convergence rate; (2) higher computational efficiency; (3) insensitive to mesh distortion. (C) 2020 Elsevier B.V. All rights reserved.
机译:本文介绍了一种基于边缘的平滑有限元方法(ES-FEM),用于评估人类暴露于极低频率(ELF)电场。首先将问题域离散地分成一组四节点四面体元素,并且采用线性形状函数来插入场变量。然后,相对于元件边缘进一步形成平滑域。为了提高较低阶插值的准确性,引入梯度平滑技术(GST)以在每个平滑域上执行电位梯度平滑操作。基于广义平滑的Galerkin弱型,最终获得离散的系统方程。包括基准和实际复杂案例的数值例证明本方法具有以下评估ELF电场的人体暴露:(1)超级精度和更快的收敛速度; (2)计算效率更高; (3)对网状失真不敏感。 (c)2020 Elsevier B.v.保留所有权利。

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