Detection, Integration, and Optimization of Acoustic Field Simulation in the Closed Space | Zendy

Siming Meng | Zendy; Ge Lin | Zendy; Xiaoyan Liang | Zendy

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Detection, Integration, and Optimization of Acoustic Field Simulation in the Closed Space

Author(s) -

Siming Meng,

Ge Lin,

Xiaoyan Liang

Publication year - 2021

Publication title -

scientific programming

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.269

H-Index - 36

eISSN - 1875-919X

pISSN - 1058-9244

DOI - 10.1155/2021/9301571

Subject(s) - computer science , acoustics , noise (video) , space (punctuation) , delaunay triangulation , cluster analysis , algorithm , computer vision , artificial intelligence , physics , image (mathematics) , operating system

Noise pollution in the closed space such as railway carriage is an important problem because the noise pollution seriously affects comfort and health of people in the closed space. We propose the method to detection, integration, and optimization of acoustic field simulation in the closed space. First, we analyze the acoustic eld distribution in the virtual 3D close space. We use harmonic sound wave propagation in the closed space and present the distribution according to geometric analysis. Second, we introduce Delaunay triangulation and k-means clustering into visualization to form the quiet zone and show it in 3D perspective. Our method used acoustic simulation to develop the sound barrier system. The simulation results show that our method can improve the analysis of the noise problem in the closed space.

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