Acoustic performance enhancement in a railway passenger carriage using hybrid ray-tracing and image-source method

2020 ◽  
Vol 170 ◽  
pp. 107527
Author(s):  
Emad Panahi ◽  
Davood Younesian
Keyword(s):  
Ray Tracing ◽  
Performance Enhancement ◽  
Image Source ◽  
Acoustic Performance ◽  
Source Method ◽  
Railway Passenger

scholarly journals A Green’s Function for Acoustic Problems in Pekeris Waveguide Using a Rigorous Image Source Method

2021 ◽  
Vol 11 (6) ◽  
pp. 2722
Author(s):  
Zhiwen Qian ◽  
Dejiang Shang ◽  
Yuan Hu ◽  
Xinyang Xu ◽  
Haihan Zhao ◽  
...  
Keyword(s):  
Green’S Function ◽  
Shallow Water ◽  
Green's Function ◽  
Plane Waves ◽  
Spherical Wave ◽  
Sound Field ◽  
Efficient Computation ◽  
Image Source ◽  
Source Method ◽  
Pekeris Waveguide

The Green’s function (GF) directly eases the efficient computation for acoustic radiation problems in shallow water with the use of the Helmholtz integral equation. The difficulty in solving the GF in shallow water lies in the need to consider the boundary effects. In this paper, a rigorous theoretical model of interactions between the spherical wave and the liquid boundary is established by Fourier transform. The accurate and adaptive GF for the acoustic problems in the Pekeris waveguide with lossy seabed is derived, which is based on the image source method (ISM) and wave acoustics. First, the spherical wave is decomposed into plane waves in different incident angles. Second, each plane wave is multiplied by the corresponding reflection coefficient to obtain the reflected sound field, and the field is superposed to obtain the reflected sound field of the spherical wave. Then, the sound field of all image sources and the physical source are summed to obtain the GF in the Pekeris waveguide. The results computed by this method are compared with the standard wavenumber integration method, which verifies the accuracy of the GF for the near- and far-field acoustic problems. The influence of seabed attenuation on modal interference patterns is analyzed.

Combination of acoustical radiosity and the image source method

2013 ◽  
Vol 133 (6) ◽  
pp. 3963-3974 ◽  
Author(s):  
Georgios I. Koutsouris ◽  
Jonas Brunskog ◽  
Cheol-Ho Jeong ◽  
Finn Jacobsen
Keyword(s):  
Image Source ◽  
Source Method

The Development of Computer Models for the Prediction of Factory Noise

1995 ◽  
Vol 2 (2) ◽  
pp. 437-454 ◽  
Author(s):  
S.M. Dance
Keyword(s):  
Mathematical Models ◽  
Ray Tracing ◽  
Computer Technology ◽  
Prediction Models ◽  
Noise Prediction ◽  
Image Source ◽  
The Past ◽  
Source Models ◽  
Insight Into ◽  
Current Potential

The development of factory noise prediction models over the past thirty years has parallelled the development of computer technology. There are currently two main approaches to this problem both of which have been extensively investigated, they are the image-source method and the ray-tracing technique. Presented are brief details of the background to the specific problems of factory noise prediction together with the various approaches used to solve the problem. An outline of how the two types of mathematical models work, together with details of their representational development is presented. A comparison of the current potential of each type of model, enabling an insight into when and where each type of model may be effectively used, is given. Three independent studies comparing various prediction models were considered. All three reviews drew the conclusion that the Ondet and Barbry, and the Lindqvist models were the most accurate ray-tracing and image-source models, respectively. Finally, a review of barrier prediction models is presented.

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