An Efficient Algorithm for SAR Evaluation from Anatomically Realistic Human Head Model Using DGTD with Hybrid Meshes

Authors

  • Lei Zhao Center for Computational Science and Engineering, School of Mathematics and Statistics Jiangsu Normal University, Xuzhou, China , State Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China
  • Geng Chen Center for Computational Science and Engineering, School of Mathematics and Statistics Jiangsu Normal University, Xuzhou, China
  • Wenhua Yu Center for Computational Science and Engineering, School of Mathematics and Statistics Jiangsu Normal University, Xuzhou, China

Keywords:

Anatomically realistic human head model, discontinuous Galerkin time-domain (DGTD), hybrid meshes, specific absorption rate (SAR)

Abstract

In this paper, an efficient and fast algorithm is proposed to analyze the specific absorption rate (SAR) in the anatomically realistic human head model with voxel data format exposed a handset antenna. The algorithm is based on the discontinuous Galerkin timedomain (DGTD) method with conformal region division and hybrid meshes. The proposed algorithm is done by dividing the computational domain into a sub-region with head model and a sub-region with handset antenna. As the realistic head model is voxel data format, the voxel-based meshes are used to divide the sub-region with head model. The tetrahedral meshes are used to divide the antenna, and are suitable for antennas with curved features and thin objects. And the pyramid meshes are used to connect voxel-based mesh and tetrahedral mesh regions. The accuracy and efficiency of the proposed algorithm are verified by comparing numerical results with analytical solutions.

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References

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Published

2021-08-18

How to Cite

[1]
L. . Zhao, G. . Chen, and W. . Yu, “An Efficient Algorithm for SAR Evaluation from Anatomically Realistic Human Head Model Using DGTD with Hybrid Meshes”, ACES Journal, vol. 31, no. 06, pp. 629–635, Aug. 2021.

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