A novel hybrid superposition method for predicting ship seismic wave in shallow sea

A hybrid superposition method (HSM) is developed for predicting seismic wave in elastic seabed excited by low frequency noise from ship submerged in shallow sea. In the scheme of HSM, an array of distributed equivalent sources interior to a radiator are employed to represent this radiator based on wave superposition principle. The equivalent sources that satisfy the boundary conditions of shallow sea are constructed by making inverse Hanker transform to the depth-dependent Green’s function corresponding to displacement potential by aid of wavenumber integration algorithm. The strengths of equivalent sources are determined by matching normal velocities on the boundary surface of radiator and then modified for ship seismic wave computation. The ship seismic wave is conveniently calculated using the superposition of the fields from the equivalent sources. It is the key feature of HSM that truncating and discretizing the field space are not required for the prediction, which reduces original problem by one dimension, while accurate results are achieved. The performance of the present method including accuracy, stability, and convergence is studied numerically. Simulations indicate that this novel method is outstanding and competitive at predicting ship seismic wave in shallow sea.

• Record URL:
  https://doi.org/10.1016/j.oceaneng.2022.111948
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0029801822012744
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00298018
• Supplemental Notes:
  • © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wu, Shaowei
  • 0000-0003-4810-3423
  • Xiang, Yang
  • Qin, Tao
• Publication Date: 2022-9-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 111948
• Serial:
  • Ocean Engineering
  • Volume: 259
  • Issue Number: 0
  • Publisher: Pergamon
  • ISSN: 0029-8018
  • EISSN: 1873-5258
  • Serial URL: http://www.sciencedirect.com/science/journal/00298018

Subject/Index Terms

• TRT Terms: Mathematical prediction; Ocean bottom; Ocean waves; Seismicity; Ships; Underwater sound
• Subject Areas: Marine Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01852705
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 22 2022 5:06PM