Abstract
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 field 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.
Highlights
Related WorkVarious methods have been proposed for the construction of the VSB system and visualization of sound field distribution
Wave-based methods and geometric methods [5] are used for sound propagation in the close space. e wave-based methods built solve the acoustic wave equations [6,7,8]
With the problem of noise in closed a three-dimensional space, a simulation model of spherical wave propagation and interaction formed by multiple point sound sources is proposed and used to calculate the quiet area of the closed space
Summary
Various methods have been proposed for the construction of the VSB system and visualization of sound field distribution. In a study [9], Cai et al proposed a ray tracing method based on space partition to simulate the sound field in a closed space. In his method, the whole closed space is divided into finite convex polyhedral subspaces, so as to reduce the times of ray and wall intersection. A method of sound field simulation for spatial convolution circular array based on discrete Fourier transform (DFT) is proposed by Haneda et al [19]. Delaunay triangulation has many advantages, such as maximizing the minimum angle and ensuring convergence It can build the low complexity and high-quality mesh in the 3D space.
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