Parametric POD-Galerkin model order reduction with a greedy algorithm for the time-domain Maxwell's equations

被引：0
作者：
Li, Kun [1 ]
Huang, Ting-Zhu [1 ]
Li, Liang [1 ]
Lanteri, Stephane [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Peoples R China
[2] INRIA, 2004 Route Lucioles,BP 93, F-06902 Sophia Antipolis, France
来源：
2019 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM - CHINA (ACES), VOL 1 | 2019年
关键词：
parametric reduced order model; proper orthogonal decomposition; time-domain Maxwell's equations; discontinuous Galerkin method; greedy algorithm;
D O I：
10.23919/aces48530.2019.9060734
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this work we report a parametric reduced order model (ROM) based on the proper orthogonal decomposition (POD) method with Galerkin projection for solving the system of time-domain Maxwell's equations. In particular, we introduce a residual-based estimation of the error associated with the ROM. Moreover, a greedy algorithm for the snapshot selection in the parameter space is developed. We investigate the behavior of the parametric POD-Galerkin ROM by considering the scattering of a plane wave by a 2-D multi-layer heterogeneous medium.
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