An 3-D Unconditionally Stable CDI-FDTD Method Based on the Conformal Technique for Simulating Complex Curved PEC Objects

The conventional Yee grid modeling approach employed within the unconditionally stable complying-divergence implicit finite-difference time-domain (CDI-FDTD) technique commonly encounters substantial staircasing errors when simulating objects with curved PEC structures. In response to this challenge, a novel conformal CDI-FDTD (C-CDI-FDTD) method is introduced, which integrates the conformal mesh technique with the CDI-FDTD methodology to refine the Yee mesh region involving surface structures in the model. This refinement aims to more accurately simulate curved surface features and mitigate computational errors arising from staircase approximations. Additionally, the method's numerical stability is assessed through the Von Neumann analysis, establishing its inherent unconditional stability. In contrast to the conventional conformal finite-difference time-domain (C-FDTD) approach, the proposed C-CDI-FDTD method circumvents the necessity of reducing the Courant–Friedrichs–Lewy (CFL) condition for ensuring numerical convergence. Moreover, a numerical analysis demonstrates that the incorporation of conformal grid techniques has no impact on the divergence characteristics of the CDI-FDTD technique. Finally, the accuracy and efficiency of the proposed C-CDI-FDTD method are validated through three classical numerical instances.

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Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2025-08-29
DOI
https://doi.org/10.1109/tap.2025.3602126
Primary Topic
Electromagnetic Simulation and Numerical Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

An 3-D Unconditionally Stable CDI-FDTD Method Based on the Conformal Technique for Simulating Complex Curved PEC Objects

Ziheng Song, Guilin Hou, Zhixiang Huang, Guoda Xie et al.
IEEE Transactions on Antennas and Propagation
Electromagnetic Simulation and Numerical Methods
article

An 3-D Unconditionally Stable CDI-FDTD Method Based on the Conformal Technique for Simulating Complex Curved PEC Objects

Ziheng Song, Guilin Hou, Zhixiang Huang, Guoda Xie, Atef Z. Elsherbeni, Yingsong Li, Yi Chen
article en

Abstract

The conventional Yee grid modeling approach employed within the unconditionally stable complying-divergence implicit finite-difference time-domain (CDI-FDTD) technique commonly encounters substantial staircasing errors when simulating objects with curved PEC structures. In response to this challenge, a novel conformal CDI-FDTD (C-CDI-FDTD) method is introduced, which integrates the conformal mesh technique with the CDI-FDTD methodology to refine the Yee mesh region involving surface structures in the model. This refinement aims to more accurately simulate curved surface features and mitigate computational errors arising from staircase approximations. Additionally, the method's numerical stability is assessed through the Von Neumann analysis, establishing its inherent unconditional stability. In contrast to the conventional conformal finite-difference time-domain (C-FDTD) approach, the proposed C-CDI-FDTD method circumvents the necessity of reducing the Courant–Friedrichs–Lewy (CFL) condition for ensuring numerical convergence. Moreover, a numerical analysis demonstrates that the incorporation of conformal grid techniques has no impact on the divergence characteristics of the CDI-FDTD technique. Finally, the accuracy and efficiency of the proposed C-CDI-FDTD method are validated through three classical numerical instances.

IEEE Transactions on Antennas and PropagationVol. 73(11)
Anhui University (CN), Colorado School of Mines (US)
National Natural Science Foundation of China, National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 78%
Electromagnetic Simulation and Numerical Methods
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An 3-D Unconditionally Stable CDI-FDTD Method Based on the Conformal Technique for Simulating Complex Curved PEC Objects — Ziheng Song, Guilin Hou, et al. · IEEE Transactions on Antennas and Propagation (2025) | TGRS Research Map | TGRS