An Efficient h-Adaptive MoM for Modeling Composite Metallic-Dielectric Structures

This letter introduces the surface magnetic current density into error estimations of the Rao–Wilton–Glisson (RWG) method of moments. Three combined error estimators are constructed and evaluated through correlation coefficients. In addition, an approximation scheme is incorporated with error estimators to accelerate the adaptive refinement procedure. Numerical examples, including composite metallic-dielectric structures, show that two of the error estimators can accurately indicate the regions with significant errors in meshed models and guide the mesh generation method to adaptively refine the corresponding triangles. The proposed method improves the modeling and computing efficiency of complex models.