Curl-based Electric-Field Boundary Condition for the Accurate and Stable Electromagnetic Scattering Analysis
Eduard Ubeda, Alex Heldring, Juan M. Rius, Vladimir Okhmatovski
Abstract
We introduce a curl-based Electric-Field Integral Equation (Curl-EFIE) for the electromagnetic scattering analysis from perfect electric conductors. The formulation is derived by enforcing a vanishing curl on the EFIE over the boundary manifold, achieved by testing the internal electric field with orthogonal tangent solenoidal disks. We demonstrate that a Method-of-Moments (MoM) discretization of the Curl-EFIE converges to a Galerkin-discretized MFIE as the testing disk dimensions vanish, yielding stable, breakdown-free impedance matrices for low frequencies and dense grids. Unlike the strongly singular kernels of the MFIE, the Curl-EFIE utilizes weakly singular kernels, significantly simplifying source integral evaluations. As a first-kind integral equation, it bypasses the MFIE's Gram matrix requirement, facilitating the analysis of non-matching triangulations. Furthermore, a linear combination of the Curl-EFIE and the conventional EFIE provides an interior-resonance-free formulation analogous to the Combined Field Integral Equation (CFIE). Finally, the Curl-EFIE performs particularly well at capturing the scattering behavior of sharp- edged and cornered geometries.
Create a lesson
Related papers
Automatic generation of exchange-correlation response kernels
Susi Lehtola
A unified gas-kinetic wave-particle method for multiscale gas-mixture flow with an elementary chemical reaction
Cao Junzhe, Wei Yufeng, Long Wenpei et al.
Energy Yield and Lifetime Climate Classification via Machine Learning for Optimizing Photovoltaic Module Design and Materials
Youri Blom, Sofia Dutto, Alexandru Costache et al.
Rapidly Convergent Finite-Element Domain Decomposition Method With Two-Channel Transmission Conditions
Furkan Şık, Fernando L. Teixeira, Balasubramaniam Shanker
A sharp-diffuse interface model for intermittent and isolated topological transitions
Raaghav Ramani
Macroparticles with different weights relax to different temperatures in Particle-In-Cell simulations
Remi Lehe, Arianna Formenti, Justin R. Angus et al.