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Inverse Design of an Ultrasparse Dissipated-Sound Metacage by Using a Genetic Algorithm

Houyou Long, Yuanzhou Zhu, Ye Gu, Ying Cheng, and Xiaojun Liu
Phys. Rev. Applied 18, 044032 – Published 13 October 2022

Abstract

Acoustic metasurfaces have the potential to be a promising route for the development of compact sound-absorptive devices with ventilation capability. However, the dissipation mechanism of limited plane wave fronts and elaborate geometry configured by extensive parametric sweepings severely restricts the available designs. Here, via establishing a cylindrical transfer matrix method combined with an inverse-design strategy of a genetic algorithm, we construct an optimized ultrasparse (with filling ratio of framework at 50%) dissipated-sound metacage (DSM), which theoretically (experimentally) demonstrates 99.1% (98.2%) absorptance for omnidirectionally radiated cylindrical sound at a prescribed frequency of 260 Hz in deep-subwavelength thickness. The perfect absorption is ascribed to the mode hybridization between two resonant meta-atoms in which one acts as a dissipated mode and the other as an acoustically soft boundary. Moreover, the balance between thickness and sparsity is investigated by demonstrating DSMs that show different filling ratios of air channels. We finally extend the paradigm into a broadband regime for exploring more potential practicability.

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  • Received 2 June 2022
  • Accepted 1 September 2022

DOI:https://doi.org/10.1103/PhysRevApplied.18.044032

© 2022 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Houyou Long1, Yuanzhou Zhu1, Ye Gu1, Ying Cheng1,2,*, and Xiaojun Liu1,2,†

  • 1Department of Physics, MOE Key Laboratory of Modern Acoustics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China
  • 2State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China

  • *chengying@nju.edu.cn
  • liuxiaojun@nju.edu.cn

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Vol. 18, Iss. 4 — October 2022

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