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Arabian Journal for Science and Engineering

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18.11.2022 | Research Article-Computer Engineering and Computer Science

An Optimization Strategy of Composite Structure for Underwater Sound-Absorbing via Combining Response Surface Method and Quantum Genetic Algorithm

verfasst von: Tian Yan, Xiuying Zhao, Kejian Wang, Hao Song

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 8/2023

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Abstract

Underwater sound-absorbing structure is vital to the stealth performance of underwater vehicles, specifically to avoid the detection by active sonar. A new composite acoustic structure is proposed in this work, and the impact of structural parameters on sound-absorbing performance are studied by the means of numerical simulation; results show two absorption peaks of 0.75 and 0.95 at 3 kHz and 7 kHz due to the mechanisms of viscous loss and resonance. Subsequently, the optimization strategy of combining response surface method with quantum genetic algorithm is employed to optimize the structure, and results exhibit more superior absorption property with an increase of 6.3% compared with that for original structure. It also shows better efficiency and accuracy in comparison with the optimization strategies in COMSOL software. The optimized composite structure is manufactured and its absorption coefficients are measured and results show an error of 8.1% between experiment and numerical simulation.

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Titel: An Optimization Strategy of Composite Structure for Underwater Sound-Absorbing via Combining Response Surface Method and Quantum Genetic Algorithm
verfasst von: Tian Yan
Xiuying Zhao
Kejian Wang
Hao Song
Publikationsdatum: 18.11.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: Arabian Journal for Science and Engineering / Ausgabe 8/2023
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI: https://doi.org/10.1007/s13369-022-07442-9

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