A Study of the Near Singularity Problem in the High-Order Method of Moments

A method is proposed for evaluating near-singular integrals in the context of a high-order method of moments (MoM) for surface integral equations (SIE). In particular, the method is tailored towards the specific challenges associated with high-order elements and high-order basis functions. The method works for kernels with weak $\left( {\frac{1}{R}} \right)$ and strong $\left( {\nabla \frac{1}{R}} \right)$ singularity, and exhibits excellent efficiency and accuracy.

Authors

Institutions

Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1109/aces-china62474.2024.10700006
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study of the Near Singularity Problem in the High-Order Method of Moments

Yongpin Chen, Jun Hu, Heng Wang
Advanced Numerical Methods in Computational Mathematics
article

A Study of the Near Singularity Problem in the High-Order Method of Moments

Yongpin Chen, Jun Hu, Heng Wang
article en

Abstract

A method is proposed for evaluating near-singular integrals in the context of a high-order method of moments (MoM) for surface integral equations (SIE). In particular, the method is tailored towards the specific challenges associated with high-order elements and high-order basis functions. The method works for kernels with weak $\left( {\frac{1}{R}} \right)$ and strong $\left( {\nabla \frac{1}{R}} \right)$ singularity, and exhibits excellent efficiency and accuracy.

University of Electronic Science and Technology of China (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 81%
Advanced Numerical Methods in Computational Mathematics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.