赵国忠

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

出生日期:1972-11-18

毕业院校:大连理工大学

学位:博士

所在单位:力学与航空航天学院

学科:工程力学. 计算力学. 动力学与控制

办公地点:综合实验1号楼513

联系方式:手机号码: 13942024929; 微信号码: 13942024929;

电子邮箱:zhaogz@dlut.edu.cn

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An Efficient and Robust Mixed-Gauge Scheme Based on Current-Splitting for Nonlinear Magnetostatic Field Computation

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论文类型:期刊论文

发表时间:2020-03-01

发表刊物:IEEE TRANSACTIONS ON MAGNETICS

收录刊物:EI、SCIE

卷号:56

期号:3

ISSN号:0018-9464

关键字:Edge element method; gauge scheme; magnetic vector potential; magnetostatic problem

摘要:In the edge element discretization for magnetostatic problems, a gauge scheme, such as tree gauge, Lagrangian multiplier (LM) gauge, and auto gauge, is usually adopted to handle the singular curl-curl equation in terms of the magnetic vector potential. However, tree-gauge and LM-gauge schemes are not very efficient as a nonlinear problem with many increments has to be resolved. In order to overcome those difficulties, a mixed-gauge scheme based on current-splitting is proposed in this article. First, we make an improvement for LM-gauged formulation and adapt it to calculate the initial increment with a specially designed CG solver; then split the discrete source current density into a compatible part and incompatible part based on discrete Helmholtz decomposition; auto gauge cooperates with the compatible part to calculate the following increments. The mixed-gauge scheme combines the advantages of LM-gauge and auto-gauge schemes, which avoids the step to determine the source term, and at the same time, has high computational efficiency. The mixed-gauge scheme is tested in some examples against some other gauge schemes and found to be efficient and robust, where others possibly converge slowly or fail to produce a reliable solution.