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Fast Subsurface EM Simulation Based on the Mixed Finite-Element Method and Second-Order Arnoldi Algorithm

delete2024-01-01
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PRE
AI
陈珂 (Ke Chen)
J
Junhui Chen
J
Jie Liu *
刘青 cover
刘青 (Qing Liu) *
DOI:10.1109/LGRS.2023.3323267delete
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Abstract

Abstract

En 中文
A fast and accurate frequency sweep method combining the mixed finite element method (MFEM) with the second-order Arnoldi algorithm is proposed to characterize the EM material properties for high-loss geoelectromagnetic problems. The MFEM exploits the tree-cotree splitting technique for spatial discretization to eliminate the spurious modes arising from the null space of the curl operator. The modal order reduction method based on the second-order Arnoldi algorithm is employed to generate a set of orthogonal basis of the projection subspace for the quadratic eigenvalue problem (QEP) with both the conduction current and displacement current considered. The efficiency and accuracy of the method are verified by comparing with commercial software HFSS for lossy dielectric characterization in subsurface.
Keywords:
Finite element analysis
Mathematical models
Permittivity
Matrices
Conductivity
Transfer functions
Electromagnetics
Mixed finite element method (MFEM)
modal order reduction
quadratic eigenvalue problem (QEP)
second-order Arnoldi algorithm

Journal

IEEE Geoscience and Remote Sensing Magazine cover
IEEE Geoscience and Remote Sensing Magazine
IF:
16.4
Papers:
1.0W
Citations:
5.1K

Organization

D
Duke University
Scholars:
6.3W
Papers: 5.7W
Citations: 6.5W
X
xiamen university
Scholars:
5.8W
Papers: 3.8W
Citations: 67