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A Parametrized Model Order Reduction Method Based on Integral Equation for Array Structures
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DOI：10.1109/LAWP.2024.3352033.png)
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摘要
En 中文
In this letter, we propose a parametrized model reduction method based on integral equations to analyze the scattering problem of array structures. The method utilizes the equivalence principle algorithm to solve each array element through volume surface integral equations, and transfers the unknowns to equivalence surfaces. Subsequently, the reduced basis method is employed to construct orthogonal subspaces for the desired parameters. By applying the reduced basis on the equivalence surfaces, a parametrized reduced model can be generated. This approach enables efficient computation of scattering solutions for varying parameters such as frequency, material properties, and the angle of incident wave. Numerical examples demonstrate the accuracy of the method while significantly reducing computation time and memory requirements.
Keyword:
Mathematical models
Integral equations
Computational modeling
Surface impedance
Interpolation
Permittivity
Matrix decomposition
Electromagnetic scattering
integral equation
model order reduction
parameter sweep
reduced basis
期刊
IF:
4.8
论文数:
1.0W
被引数:
2.8W
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