TY - JOUR
T1 - An efficient rectilinear Gaussian beam tracing method for sound propagation modelling in a non-turbulent medium
AU - Bian, Haoyu
AU - Fattah, Ryu
AU - Zhong, Siyang
AU - Zhang, Xin
N1 - Funding Information:
B.H. wishes to thank the Hong Kong University of Science and Technology (HKUST) for supporting part of his Ph.D. thesis research. This work is partly supported by the Hong Kong Innovation and Technology Commission (Ref. No. ITC/387/17FP), the National Natural Science Foundation of China (Grant No. NSFC 11972029), and the Ministry of Science and Technology of China (Grant No. 2018YFE0183800).
Publisher Copyright:
© 2020 Acoustical Society of America.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - Large-distance sound propagation with high-frequency noise sources, multiple obstacles/geometry with varying acoustic impedance is common in real-life applications. To resolve the acoustic governing equations directly is often computationally costly, especially in three-dimensional space. Methods based on geometric acoustics can be more rapid. However, efforts are still being made to improve the efficiency, robustness, and the capability for complex configurations of such methods. In this paper, an efficient implementation of the rectilinear Gaussian beam tracing method is conducted, which combines rectilinear ray tracing with a proposed efficiency-matched dynamic ray tracing algorithm. A continuous medium stratification method is employed to improve the robustness. Also, a ray compression algorithm is proposed to save computation time. Numerical tests show that computation acceleration up to tenfold is achieved, benefiting rapid estimation of large-distance sound propagation. A standard octree data structure is employed in the code, which accelerates ray tracing in the testing cases with complex geometries. The efficiency and capability of the solver are demonstrated by studying several benchmark problems with varying complexity.
AB - Large-distance sound propagation with high-frequency noise sources, multiple obstacles/geometry with varying acoustic impedance is common in real-life applications. To resolve the acoustic governing equations directly is often computationally costly, especially in three-dimensional space. Methods based on geometric acoustics can be more rapid. However, efforts are still being made to improve the efficiency, robustness, and the capability for complex configurations of such methods. In this paper, an efficient implementation of the rectilinear Gaussian beam tracing method is conducted, which combines rectilinear ray tracing with a proposed efficiency-matched dynamic ray tracing algorithm. A continuous medium stratification method is employed to improve the robustness. Also, a ray compression algorithm is proposed to save computation time. Numerical tests show that computation acceleration up to tenfold is achieved, benefiting rapid estimation of large-distance sound propagation. A standard octree data structure is employed in the code, which accelerates ray tracing in the testing cases with complex geometries. The efficiency and capability of the solver are demonstrated by studying several benchmark problems with varying complexity.
UR - http://www.scopus.com/inward/record.url?scp=85099193471&partnerID=8YFLogxK
U2 - 10.1121/10.0002966
DO - 10.1121/10.0002966
M3 - Journal article
C2 - 33379884
AN - SCOPUS:85099193471
SN - 0001-4966
VL - 148
SP - 4037
EP - 4048
JO - Journal of the Acoustical Society of America
JF - Journal of the Acoustical Society of America
IS - 6
ER -