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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: ; Mingdong Zhou. Email:

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

Computer Modeling in Engineering & Sciences 2022, 131(1), 1-18.


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.


Cite This Article

Lian, H., Chen, L., Lin, X., Zhao, W., P., S. et al. (2022). Noise Pollution Reduction through a Novel Optimization Procedure in Passive Control Methods. CMES-Computer Modeling in Engineering & Sciences, 131(1), 1–18.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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