Geometry-and Physics-Aware h-p Adaptation Algorithm for Efficient Electromagnetic Scattering Simulation

In numerical analysis of electromagnetic (EM) scattering from electrically large and complex structures, achieving a high computational efficiency while ensuring simulation accuracy remains a substantial challenge. This study builds upon our previous work with phase-extracted basis functions (PEBFs) and higherorder basis functions (HOBFs) (J. P. Webb, IEEE Trans. Antennas Propag., 47(8), 1244-1253, 1999) to introduce a novel integral-equation-based method that employs a hybrid h-p adaptation strategy. This approach combines the benefits of both adaptive mesh refinement and adaptive basis function order to tackle the computational demands posed by intricate object geometries.

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Published
2024-09-02
DOI
https://doi.org/10.1109/iceaa61917.2024.10701870
Citations
1
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.35
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Geometry-and Physics-Aware h-p Adaptation Algorithm for Efficient Electromagnetic Scattering Simulation

Su Yan, Christian Díaz-Cáez
1 citations
Geological Modeling and Analysis
0.35
article

Geometry-and Physics-Aware h-p Adaptation Algorithm for Efficient Electromagnetic Scattering Simulation

Su Yan, Christian Díaz-Cáez
article en
1 citations

Abstract

In numerical analysis of electromagnetic (EM) scattering from electrically large and complex structures, achieving a high computational efficiency while ensuring simulation accuracy remains a substantial challenge. This study builds upon our previous work with phase-extracted basis functions (PEBFs) and higherorder basis functions (HOBFs) (J. P. Webb, IEEE Trans. Antennas Propag., 47(8), 1244-1253, 1999) to introduce a novel integral-equation-based method that employs a hybrid h-p adaptation strategy. This approach combines the benefits of both adaptive mesh refinement and adaptive basis function order to tackle the computational demands posed by intricate object geometries.

National Geospatial-Intelligence Agency (US), Howard University (US)
Affordable and clean energy
Openalex Percentile: Top 36%
Geological Modeling and Analysis
0.35
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