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Noise Pollution Reduction through a Novel Optimization Procedure in Passive Control Methods

Haojie Lian1,2, Leilei Chen2,3, Xiao Lin4, Wenchang Zhao5,*, Stephane P. A. Bordas6,7, Mingdong Zhou8,*

1 Key Laboratory of In-Situ Property-Improving Mining of Ministry of Education, Taiyuan University of Technology, Taiyuan, 030024, China
2 Henan International Joint Laboratory of Structural Mechanics and Computational Simulation, Huanghuai University, Zhumadian, 463000, China
3 College of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China
4 The York Management School, University of York, York, YO10 5DD, UK
5 CAS Key Laboratory of Mechanical Behavior and Design of Materials, University of Science and Technology of China, Hefei, 230027, China
6 Institute for Computational Engineering, Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg, SA2 8PP, UK
7 School of Engineering, Cardiff University, Cardiff, CF24 3AA, UK
8 Shanghai Key Laboratory of Digital Manufacture for Thin-Walled Structures, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

* Corresponding Authors: Wenchang Zhao. Email: email; Mingdong Zhou. Email: email

(This article belongs to the Special Issue: Recent Advance of the Isogeometric Boundary Element Method and its Applications)

Computer Modeling in Engineering & Sciences 2022, 131(1), 1-18. https://doi.org/10.32604/cmes.2022.019705

Abstract

This paper proposes a novel optimization framework in passive control techniques to reduce noise pollution. The geometries of the structures are represented by Catmull-Clark subdivision surfaces, which are able to build gap-free Computer-Aided Design models and meanwhile tackle the extraordinary points that are commonly encountered in geometric modelling. The acoustic fields are simulated using the isogeometric boundary element method, and a density-based topology optimization is conducted to optimize distribution of sound-absorbing materials adhered to structural surfaces. The approach enables one to perform acoustic optimization from Computer-Aided Design models directly without needing meshing and volume parameterization, thereby avoiding the geometric errors and time-consuming preprocessing steps in conventional simulation and optimization methods. The effectiveness of the present method is demonstrated by three dimensional numerical examples.

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APA Style
Lian, H., Chen, L., Lin, X., Zhao, W., Bordas, S.P.A. et al. (2022). Noise pollution reduction through a novel optimization procedure in passive control methods. Computer Modeling in Engineering & Sciences, 131(1), 1-18. https://doi.org/10.32604/cmes.2022.019705
Vancouver Style
Lian H, Chen L, Lin X, Zhao W, Bordas SPA, Zhou M. Noise pollution reduction through a novel optimization procedure in passive control methods. Comput Model Eng Sci. 2022;131(1):1-18 https://doi.org/10.32604/cmes.2022.019705
IEEE Style
H. Lian, L. Chen, X. Lin, W. Zhao, S.P.A. Bordas, and M. Zhou "Noise Pollution Reduction through a Novel Optimization Procedure in Passive Control Methods," Comput. Model. Eng. Sci., vol. 131, no. 1, pp. 1-18. 2022. https://doi.org/10.32604/cmes.2022.019705



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