Accurate and Fast Electrostatic Analysis Using Mesh Smoothing and Geometric Multi-Grid for Numerical Human Body Model
Masamune Nomura, Amane Takei · 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC) · 2022
In an electrostatic analysis using a numerical human body model constructed with voxels, the electric field strength is overestimated near staircase boundaries of different materials (called staircasing errors). To reduce these staircasing errors, mesh smoothing using marching cubes and Laplacian smoothing is developed and applied to a part of the numerical human body model. In addition, to reduce the increase in computation time for electrostatic analysis due to this mesh smoothing, the Geometric Multi-Grid (GMG) method dealing with unstructured lattices is applied. As a result, this mesh smoothing method reduces the stair casing errors and this GMG takes up to 1/16 of the computation time of a general linear algebra solver. Furthermore, the most important finding is that the accurate electrostatic analysis by mesh smoothing leads to a reduction in the iteration count of the GMG.