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中文核心期刊

Volume 49 Issue 1
Jan.  2024
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CHEN Changxiong, PENG Zilong, SONG Hao, FAN Jun, XUE Yaqiang. Fast prediction method of full-space bistatic scattering sound field of underwater stiffened double cylindrical shell[J]. ACTA ACUSTICA, 2024, 49(1): 78-88. DOI: 10.12395/0371-0025.2022157
Citation: CHEN Changxiong, PENG Zilong, SONG Hao, FAN Jun, XUE Yaqiang. Fast prediction method of full-space bistatic scattering sound field of underwater stiffened double cylindrical shell[J]. ACTA ACUSTICA, 2024, 49(1): 78-88. DOI: 10.12395/0371-0025.2022157
shu

Fast prediction method of full-space bistatic scattering sound field of underwater stiffened double cylindrical shell

  • 1.

    School of Energy and Power Engineering, Jiangsu University of Science and Technology　Zhenjiang　212100

  • 2.

    Systems Engineering Research Institute　Beijing　100094

  • 3.

    State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University　Shanghai　200240

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  • PACS: 
    • 43.30  (Underwater sound)
    • 43.60  (Acoustic signal processing)
  • Received Date: November 28, 2022
  • Revised Date: February 12, 2023
  • Available Online: January 04, 2024
    Graphical Abstract
    • Abstract

  • A fast prediction method is presented for the full-space bistatic scattering sound field of the underwater stiffened double cylindrical shell. The scattering sound field is represented as the product of the acoustic scattering transfer function and the sound source density function. The target surface grid information and a small amount of simulation or experimentation multistatic scattering sound pressure data are used as known information to forecast other bistatic scattering sound fields with the help of numerical integration, matrix theory, and least squares method. The scattered sound pressure data from simulation of the finite element method (FEM) and experimental tests are used as input to calculate the multistatic scattered sound field of the underwater stiffened double cylindrical shell, respectively. The calculated results are compared with those calculated exclusively by the FEM, and the effects of different input data and calculation frequencies on the calculation results are discussed. The results show that the proposed method can predict the full-space bistatic scattered sound field of the target when the surface structure and part of the scattered sound field data are known. The greater amount of known scattered sound pressure data and lower computational frequency lead to higher prediction accuracy.

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    • References (24)
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