Forward-reverse design method for acoustic metamaterial plates based on neural networks

CHEN Weiqian; GUO Hui; FU Wei; SUN Pei; WANG Yansong

doi:10.12299/jsues.24-0163

Volume 39 Issue 3

Sep. 2025

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Article Navigation > Journal of Shanghai University of Engineering Science > 2025 > 39(3): 347-353, 374

CHEN Weiqian, GUO Hui, FU Wei, SUN Pei, WANG Yansong. Forward-reverse design method for acoustic metamaterial plates based on neural networks[J]. Journal of Shanghai University of Engineering Science, 2025, 39(3): 347-353, 374. doi: 10.12299/jsues.24-0163

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CHEN Weiqian, GUO Hui, FU Wei, SUN Pei, WANG Yansong. Forward-reverse design method for acoustic metamaterial plates based on neural networks[J]. Journal of Shanghai University of Engineering Science, 2025, 39(3): 347-353, 374. doi: 10.12299/jsues.24-0163

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Forward-reverse design method for acoustic metamaterial plates based on neural networks

doi: 10.12299/jsues.24-0163

CHEN Weiqian^1
,,
GUO Hui^{1
,
,},
FU Wei²,
SUN Pei¹,
WANG Yansong¹

1.
School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
2.
Zibo Technician College, Zibo 255000, China

Received Date: 2024-06-07
Available Online: 2025-12-22
Publish Date: 2025-09-30

Abstract

Abstract

As an artificial composite structure, an acoustic metamaterial plate (AMP) can block the propagation of the elastic wave within specific frequency ranges. Due to the combined effects of multiple mechanisms in the composite structure, it is difficult to derive and express the physical properties using theoretical formulas. An AMP structure based on local resonance mechanism was proposed, and the bandgap characteristics were analyzed using finite element method, to obtain different cell structure parameters and corresponding bandgap characteristics. A sample set of the relationship between the structure parameters and corresponding bandgap characteristics was established for the AMP. A forward neural network model was designed to obtain the mapping relationship between structural parameters and bandgap range, and the forward prediction of the corresponding bandgap range by inputting structural parameters can be achieved. On this basis, a reverse neural network was proposed, and the reverse design can be carried out to obtain the structural parameters of AMP aiming the required bandgap range. The simulation results show that complex and cumbersome theoretical derivation and calculation can be avoided with the forward-reverse design method for AMP, which is helpful to promote further development of acoustic metamaterials.
- acoustic metamaterial,
- bandgap properties,
- finite element analysis,
- neural network model,
- intelligent design

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References(36)

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