The Genetic Algorithm-Based Optimization Method for the Geometric and Material Parameters of Underwater Anechoic Coating
نویسندگان
چکیده
Recent studies show that the shape of internal cavity with periodic distribution has a significant impact on characteristics anechoic coating. In this study, we proposed genetic algorithm-based method for optimizing design parameters By transforming 3D finite element model (FEM) coating to 2D axisymmetric (AFEM), and COMSOL MATLAB co-simulation combined algorithm applied obtain optimal parameters. Lots simulation results demonstrate as number generated segments rotating surface in increases, sound absorption performance greatly improves. The expected optimization effect is achieved by substituting optimized into FEM. Moreover, reflection coefficient an gradually increases increasing incident angles. middle-high frequency range, when synthetical material properties shape, better can be obtained comparison case where only optimized.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3179380