A Semi-Analytical Method for the 3D Elastic Structural-Acoustic Radiation in Shallow Water

被引:4
作者
Qian, Zhiwen [1 ]
Shang, Dejiang [2 ]
Xu, Xinyang [1 ]
He, Yuanan [3 ]
Zhai, Jingsheng [1 ]
机构
[1] Tianjin Univ, Sch Marine Sci & Technol, Tianjin 300072, Peoples R China
[2] Harbin Engn Univ, Coll Underwater Acoust Engn, Harbin 150001, Peoples R China
[3] Syst Engn Res Inst, Beijing 100036, Peoples R China
基金
中国国家自然科学基金;
关键词
Wave superposition method; elastic structures; shallow water; acoustic radiation; Green function; EQUIVALENT SOURCE METHOD; PARABOLIC-EQUATION; SOUND-PROPAGATION; CYLINDRICAL-SHELL; WAVE-PROPAGATION; L-CURVE; FIELD; RECONSTRUCTION; SUPERPOSITION; ALGORITHM;
D O I
10.1142/S2591728521500110
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
A hybrid computational method is proposed for three-dimensional structural-acoustic radiation in shallow water, which combines the wave superposition method (WSM) with the adjustable Green function and the multi-physical-coupled finite element method (FEM). A low-frequency acoustic model in the near field is established by the FEM to discretize the continuous and arbitrary-shaped radiator, and the normal vibration velocity on the wetted surface is used as the input in the WSM to calculate the strengths of simple sources enclosed within the radiator. Finally, the sound propagation in the far field of the elastic structure is efficiently computed by superimposing the sound field of each simple source. The numerical examples of the pulsating sphere and elastic spherical shell in the shallow water are developed to verify the high accuracy and efficiency of the presented method, respectively. Moreover, the regularization algorithms are employed as the complementary approaches to improve the stability of this method in engineering practices, it is found that the algorithms can significantly hold the calculation accuracy in case the velocity data contain noise, and the least-squares QR is an efficient and accurate method with a few iteration numbers and better stability effect as compared with other algorithms.
引用
收藏
页数:25
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