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Reduced order isogeometric boundary element methods for CAD-integrated shape optimization in electromagnetic scattering
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DOI：10.1016/j.cma.2023.116654.png)
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Abstract
En 中文
This paper formulates a model order reduction method for electromagnetic boundary element analysis and extends it to computer-aided design integrated shape optimization of multi frequency electromagnetic scattering problems. Firstly, a series expansion technique is adopted to decouple frequency-dependent terms from the integrands in boundary element formulation, and the second-order Arnoldi procedure is utilized to reduce the order of original systems. Secondly, to ensure geometric exactness and avoid re-meshing during shape optimization, the isogeometric boundary element method is employed, which uses the Non-Uniform Rational B-splines to represent the geometry and to discretize boundary integral equations. Lastly, we employ the Grey Wolf Optimization-Artificial Neural Network as a surrogate model for shape optimization in multi-frequency electromagnetic scattering problems, with the radar cross section as the objective function. Several examples are provided to demonstrate the accuracy and efficiency of the proposed algorithm.
Keywords:
Multi-frequency
Isogeometric boundary element method
Frequency decoupling
SOAR
Deep learning
Shape optimization
Journal
IF:
7.3
Papers:
1.3W
Citations:
5.6W
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