A Stable SBP-SAT FDTD Subgridding Method Without Region Split

📅 2026-04-16
📈 Citations: 0
Influential: 0
📄 PDF

career value

175K/year
🤖 AI Summary
This work proposes a stable subgridding method for SBP-SAT FDTD that eliminates the need for domain decomposition or multi-block structures, which traditionally lead to high computational complexity and domain fragmentation. By designing embedding-aware projection SBP operators together with compatible SAT boundary conditions, the approach enables direct coupling between fine and coarse grids within a single computational domain. This strategy avoids auxiliary blocks or explicit domain partitioning, substantially reducing the number of SAT interfaces while preserving long-term numerical stability and enhancing interfacial accuracy. Numerical experiments demonstrate that the proposed method outperforms existing approaches in terms of computational efficiency, solution accuracy, and topological flexibility.

Technology Category

Application Category

📝 Abstract
A provably stable summation-by-parts simultaneous approximation term (SBP-SAT) finite-difference time-domain (FDTD) subgridding method without region split is proposed. By designing projection SBP operators tailored for embedded topological features and deriving the corresponding SAT boundary conditions, this approach guarantees long-time stability through discrete energy analysis. Unlike conventional SBP-SAT FDTD subgridding techniques that rely on aligned or multi-block configurations, the proposed method enables a direct coupling between an internal refined region and a single surrounding coarse-grid domain without introducing auxiliary blocks or causing domain fragmentation. Numerical results validate the efficiency, accuracy, and topological flexibility of the proposed method. Compared with existing multi-block SBP-SAT methods, this method effectively reduces computational complexity by minimizing SAT boundary conditions and improves calculation accuracy near grid interfaces.
Problem

Research questions and friction points this paper is trying to address.

FDTD subgridding
SBP-SAT
region split
grid refinement
numerical stability
Innovation

Methods, ideas, or system contributions that make the work stand out.

SBP-SAT
FDTD subgridding
projection operators
discrete energy stability
topological flexibility
Y
Yuhui Wang
School of Electronic and Information Engineering, Beihang University, Beijing, China
L
Langran Deng
School of Electronic and Information Engineering, Beihang University, Beijing, China
W
Weibo Wu
School of Electronic and Information Engineering, Beihang University, Beijing, China
H
Hanhong Liu
School of Electronic and Information Engineering, Beihang University, Beijing, China
Xinyue Zhang
Xinyue Zhang
Southwest University of Science and Technology
Machine Learning · Multi-view clustering
X
Xingqi Zhang
Department of Electrical and Computer Engineering, University of Alberta, Canada
J
Jian Wang
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
W
Wei-Jie Wang
CAEP Software Center for High Performance Numerical Simulation, Beijing 100088, China and Institute of Applied Physics and Computational Mathematics, Beijing 100088, China
Z
Zhizhang Chen
Department of Electrical and Computer Engineering, Dalhousie University, Halifax, Nova Scotia, Canada B3H 4R2
S
Shunchuan Yang
School of Electronic and Information Engineering, Beihang University, Beijing, China