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Topology optimization of single-groove acoustic metasurfaces using genetic algorithms

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Abstract

Acoustic and elastic waves can be manipulated by a novel artificial metasurface, usually composed of different microstructures. In this paper, the topology optimization technique was introduced to design single-groove acoustic metasurfaces based on genetic algorithms. The mixed variables are proposed to design the layouts of grooves, and a new objective function of anomalous refraction is established. Three case studies were obtained as follows: (1) anomalous refraction, (2) beam focusing, and (3) self-accelerating beams. Compared with the original single-groove metasurface, the optimized one has less scattering in the transmitted field, and its numerical simulation results are closer to the predicted values. This research is expected to contribute highly to the field of vibration and noise isolation, elastic wave filters, and acoustic devices.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (No. 11502149,11302135), Natural Science Foundation of Liaoning Province (Nos. 2019-ZD-0229, 2019-ZD-0228 and 2019-ZD-0297), Scientific Research Fund of Liaoning Provincial Education Department (No. JYT19056), Natural Science Foundation of Suqian City (No. K202124), Scientific Research Foundation of Suqian University. The financial contributions are gratefully acknowledged.

Funding

Funding was provided by Natural Science Foundation of Liaoning Province, 2019-ZD-0229, Weikai Xu

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Authors and Affiliations

  1. School of Civil Engineering and Architecture, Suqian University, Suqian, 223800, People’s Republic of China

    Zibin Lin, Wei Wang & Weikai Xu

  2. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, People’s Republic of China

    Tianzhi Yang

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  1. Zibin Lin
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Correspondence to Wei Wang.

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Lin, Z., Wang, W., Xu, W. et al. Topology optimization of single-groove acoustic metasurfaces using genetic algorithms. Arch Appl Mech 92, 961–969 (2022). https://doi.org/10.1007/s00419-021-02084-z

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