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GE Jian, SHI Jian-ren. COMPUTER SIMULATION MODEL FOR ROOM DIFFUSE SOUND FIELD[J]. Journal of Zhejiang University Science A, 2000, 1(4): 402-407.
@article{title="COMPUTER SIMULATION MODEL FOR ROOM DIFFUSE SOUND FIELD",
author="GE Jian, SHI Jian-ren",
journal="Journal of Zhejiang University Science A",
volume="1",
number="4",
pages="402-407",
year="2000",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2000.0402"
}
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%T COMPUTER SIMULATION MODEL FOR ROOM DIFFUSE SOUND FIELD
%A GE Jian
%A SHI Jian-ren
%J Journal of Zhejiang University SCIENCE A
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%N 4
%P 402-407
%@ 1869-1951
%D 2000
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2000.0402
TY - JOUR
T1 - COMPUTER SIMULATION MODEL FOR ROOM DIFFUSE SOUND FIELD
A1 - GE Jian
A1 - SHI Jian-ren
J0 - Journal of Zhejiang University Science A
VL - 1
IS - 4
SP - 402
EP - 407
%@ 1869-1951
Y1 - 2000
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2000.0402
Abstract: With the development of computer simulation technique for room acoustics, diffuse reflection is considered more and more important. In this paper, some models are developed by considering two diffuse factors in a room-diffuse reflection due to room surfaces and scattering due to objects. The surface diffusion is treated by two different methods on the basis of probability analysis or Energy Conservation Law, and the scattering among objects is simulated as a multiple random ray-tracing process. Thus the sound pressure level distribution in a diffuse sound field can be calculated more precisely and easily. Agreement between the computer simulation results and measurements shows the accuracy of the mathematical and physical model and the applicability of the computer simulation methods. These models can be used in noise control engineering, as well as in the practice of acoustical design.
[1]Borish,J, 1984. Extension of the image model to arbitrary polyhedra. J.Acoust.Soc.Am., 75: 1827-1836.
[2]Chien,C. F., Carroll,M. M., 1980. Sound source above a rough absorbent plane. J. Acoust. Soc. Am., 67: 827-829.
[3]Dalenback, B.I., 1992. Room acoustic prediction and auralization based on extended image source model. licentiate thesis, rep.F92-03 Dept. of Applied Acoustics, Chalemers University of Technology, Gothenburg, Swenden.
[4]Heinz,R., 1993. Binaural room simulation based on an image source model with addition of statistical methods to include the diffuse sound scattering of walls and to predict reverberant tail. Appl. Acoust., 38: 145-159.
[5]Hodgson, M., 1991. Evidence of diffuse surface reflection in rooms. J.Acoust.Soc.Am., 89(2), 765-771.
[6]Hodgson,M., 1994. On measures to increase sound-field diffuseness and the application of diffuse-field theory. J. Acoust. Soc. Am. 95(6): 3651-3653.
[7]Kuttruff, H., Strassen, T., 1980. On the dependence of reverberation time on the "wall diffusion" and on room shape. Acustica, 45: 246-255.
[8]Kuttruff, H., 1991. Room acoustics, applied science publishers ltd., 3rd ed, New York, p.87.
[9]Leschnik, W., 1980. Sound spead in building and planting region. Acustica, 44: 14-19.
[10]Naylor,G. 1992. Treatment of early and late reflections in a hybrid computer model for room acoustics. J. Acoust. Soc. Am. (Abstracts), 92 (Pt.2): 2345. paper 3aAA2.
[11]Wu,S., Kittinger, E., 1995. On the relevance of sound scattering to the prediction of traffic noise in urban streets. Acustica, 81, 36-42.
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