Open Access

ARTICLE

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

Haojie Lian^1,2, Leilei Chen^2,3, Xiao Lin⁴, Wenchang Zhao^5,*, Stephane P. A. Bordas^6,7, Mingdong Zhou^8,*

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: ; Mingdong Zhou. 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

Received 10 October 2021; Accepted 02 November 2021; Issue published 24 January 2022

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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Keywords

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