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Large-Scale Full Wave Analysis of Electromagnetic Field by Hierarchical Domain Decomposition Method

A. Takei1, S. Yoshimura1, H. Kanayama2

The University of Tokyo, Bunkyo-ku, Tokyo, Japan
Kyushu University, Nishi-ku, Fukuoka, Japan

Computer Modeling in Engineering & Sciences 2009, 40(1), 63-82. https://doi.org/10.3970/cmes.2009.040.063

Abstract

This paper describes a large-scale finite element analysis (FEA) for a high-frequency electromagnetic field of Maxwell equations including the displacement current. A stationary Helmholtz equation for the high-frequency electromagnetic field analysis is solved by considering an electric field and an electric scalar potential as unknown functions. To speed up the analysis, the hierarchical domain decomposition method (HDDM) is employed as a parallel solver. In this study, the Parent-Only type (Parallel processor mode: P-mode) of the HDDM is employed. In the P-mode, Parent processors perform the entire FEA. In this mode, all CPUs can be used without idling in an environment of 10-20 CPUs. A whole body cavity resonator (TEAM Workshop problem 29) and a real-world commuter train model with 12.8 million degrees-of-freedom are solved to verify accuracy and performance of the developed method.

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APA Style
Takei, A., Yoshimura, S., Kanayama, H. (2009). Large-scale full wave analysis of electromagnetic field by hierarchical domain decomposition method. Computer Modeling in Engineering & Sciences, 40(1), 63-82. https://doi.org/10.3970/cmes.2009.040.063
Vancouver Style
Takei A, Yoshimura S, Kanayama H. Large-scale full wave analysis of electromagnetic field by hierarchical domain decomposition method. Comput Model Eng Sci. 2009;40(1):63-82 https://doi.org/10.3970/cmes.2009.040.063
IEEE Style
A. Takei, S. Yoshimura, and H. Kanayama, “Large-Scale Full Wave Analysis of Electromagnetic Field by Hierarchical Domain Decomposition Method,” Comput. Model. Eng. Sci., vol. 40, no. 1, pp. 63-82, 2009. https://doi.org/10.3970/cmes.2009.040.063



cc Copyright © 2009 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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