SLIM: A Well-Conditioned Single-Source Boundary Element Method for Modeling Lossy Conductors in Layered Media

The boundary element method (BEM) enables the efficient electromagnetic modeling of lossy conductors with a surface-based discretization. Existing BEM techniques for conductor modeling require either expensive dual basis functions or the use of both single- and double-layer potential operators to ob...

Full description

Saved in:
Bibliographic Details
Published in:IEEE antennas and wireless propagation letters 2020-12, Vol.19 (12), p.2072-2076
Main Authors: Sharma, Shashwat, Triverio, Piero
Format: Article
Language:English
Subjects:
Basis functions
Boundary element method
Boundary element method (BEM)
Boundary-element methods
Computing costs
Conductors
electro-magnetic (EM) modeling
Green's functions
Impedance matrix
Magnetic losses
Mathematical analysis
Mathematical model
Monolayers
Multilayers
Nonhomogeneous media
Numerical models
Operators (mathematics)
single-source formulations
Surface impedance
surface integral equations
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The boundary element method (BEM) enables the efficient electromagnetic modeling of lossy conductors with a surface-based discretization. Existing BEM techniques for conductor modeling require either expensive dual basis functions or the use of both single- and double-layer potential operators to obtain a well-conditioned system matrix. The computational cost is particularly significant when conductors are embedded in stratified media, and the expensive multilayer Green's function (MGF) must be used. In this letter, a novel single-source BEM formulation is proposed, which leads to a well-conditioned system matrix without the need for dual basis functions. The proposed single-layer impedance matrix formulation does not require the double-layer potential to model the background medium, which reduces the cost associated with the MGF. The accuracy and efficiency of the proposed method are demonstrated through realistic examples drawn from different applications.
ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2020.3022593