TY - GEN
T1 - High-Efficiency Domain Decomposition Method of Hybrid Finite Element-Boundary Integral for Composite Electromagnetic Problems
AU - Gao, Hong Wei
AU - Sheng, Xin Qing
N1 - Publisher Copyright:
© 2018 ACES.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - To accurately and efficiently analyse large-scale and composite electromagnetic problems, an improved complete domain decomposition method (CDDM) of the hybrid finite element-boundary integral (FE-BI) is proposed in this paper. The recently proposed CDDM of FE-UI effectively integrates volume-based nonconformal Schwarz FE-DDM and surface-based nonconformal interior penalty UI-DDM, which has been proved to be flexible and powerful for time-harmonic scattering and radiation problems. To further improve its capability, a new cost-effective additive Schwarz preconditioner is introduced. The new preconditioner is constructed from sparse submatrices which is obtained by rarefying the FE-BI submatrix based on the characteristics of boundary integral equation. Comparing with the previous matrix system, the new preconditioned matrix system consumes less memory and time under the premise of fast convergence. The capability of the improved CDDM of FE-BI is demonstrated by numerical experiments closing to realistic application.
AB - To accurately and efficiently analyse large-scale and composite electromagnetic problems, an improved complete domain decomposition method (CDDM) of the hybrid finite element-boundary integral (FE-BI) is proposed in this paper. The recently proposed CDDM of FE-UI effectively integrates volume-based nonconformal Schwarz FE-DDM and surface-based nonconformal interior penalty UI-DDM, which has been proved to be flexible and powerful for time-harmonic scattering and radiation problems. To further improve its capability, a new cost-effective additive Schwarz preconditioner is introduced. The new preconditioner is constructed from sparse submatrices which is obtained by rarefying the FE-BI submatrix based on the characteristics of boundary integral equation. Comparing with the previous matrix system, the new preconditioned matrix system consumes less memory and time under the premise of fast convergence. The capability of the improved CDDM of FE-BI is demonstrated by numerical experiments closing to realistic application.
UR - http://www.scopus.com/inward/record.url?scp=85063814005&partnerID=8YFLogxK
U2 - 10.23919/ACESS.2018.8669225
DO - 10.23919/ACESS.2018.8669225
M3 - Conference contribution
AN - SCOPUS:85063814005
T3 - 2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
BT - 2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2018
Y2 - 29 July 2018 through 1 August 2018
ER -