期刊
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
卷 370, 期 -, 页码 -出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2020.113280
关键词
Numerical methods; Gradient smoothing technique; Human exposure; Extremely low frequency; Electric fields
资金
- National Natural Science Foundation of China [11702080]
- Natural Science Foundation of Hebei Province of China [A2018202205]
- State Key Program of National Natural Science of China [11832011]
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.
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