Curvature Conservation in a Method of Moment-Based H-Refinement Procedure

Over the past decades, significant advancements have been made in computational electromagnetics, leading to highly efficient simulation methods. However, both the precision and computational efficiency of these simulations remain constrained by the discretization of geometric structures. The evaluation of highly sensitive parameters and the design of very low observability (VLO) targets necessitate a high-fidelity geometric representation, which, in turn, demands dense discretization and increased computational resources. To address this issue, adaptive meshing strategies, particularly h-refinement, have emerged as effective techniques [1]. This refinement approach begins with a coarse mesh and selectively enhances resolution in regions where errors are significant, guided by an error estimation mechanism. By dynamically subdividing these critical areas, h-refinement efficiently reduces global error, ensuring that the mesh meets the required accuracy.

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Published
2025-05-18
DOI
https://doi.org/10.23919/aces66556.2025.11052582
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
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article

Curvature Conservation in a Method of Moment-Based H-Refinement Procedure

J. M. Taboada, Victor F. Martín, Francesca Vipiana
Computational Fluid Dynamics and Aerodynamics
article

Curvature Conservation in a Method of Moment-Based H-Refinement Procedure

J. M. Taboada, Victor F. Martín, Francesca Vipiana
article en

Abstract

Over the past decades, significant advancements have been made in computational electromagnetics, leading to highly efficient simulation methods. However, both the precision and computational efficiency of these simulations remain constrained by the discretization of geometric structures. The evaluation of highly sensitive parameters and the design of very low observability (VLO) targets necessitate a high-fidelity geometric representation, which, in turn, demands dense discretization and increased computational resources. To address this issue, adaptive meshing strategies, particularly h-refinement, have emerged as effective techniques [1]. This refinement approach begins with a coarse mesh and selectively enhances resolution in regions where errors are significant, guided by an error estimation mechanism. By dynamically subdividing these critical areas, h-refinement efficiently reduces global error, ensuring that the mesh meets the required accuracy.

Politecnico di Torino (IT), Universidad Rey Juan Carlos (ES), Universidad de Extremadura (ES)
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Computational Fluid Dynamics and Aerodynamics
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