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Acta Armamentarii ›› 2025, Vol. 46 ›› Issue (5): 240303-.doi: 10.12382/bgxb.2024.0303

Special Issue: 蓝色智慧·兵器科学与技术

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A Fast Target Forecasting Algorithm for Pressure Field Caused by Ship Sailing in Shallow Water with Regular Waves

DENG Hui, LI Peihao, YI Wenbin*(), XIA Weixue, MENG Qingchang   

  1. Naval University of Engineering, Wuhan 430033, Hubei, China
  • Received:2024-04-07 Online:2025-05-07
  • Contact: YI Wenbin

Abstract:

Pressure field caused by ship sailing is an important information in the ocean battlefield. When a ship sails against waves, the pressure fluctuation caused by ship-wave interaction becomes the background interference of ship’s own hydrodynamic pressure field, which affects the accurate prediction and identification of ship target. Therefore, a fast algorithm for the target characterization of pressure field caused by ship sailing against regular waves in the shallow water is studied. The theoretical and numerical methods of pressure field suitable for regular waves environment and full speed of ship are established by using the wave source term method and moving pressure term method on the basis of shallow-water wave theory. Meanwhile, a fast and efficient numerical algorithm is developed, and an algorithmic program is compiled, which can simulate the regular waves in shallow water, the ship hydrodynamic pressure field in static water, and the temporal and spatial variation characteristics of pressure caused by ship sailing against waves. Based on the validation study, the characteristics of pressure field caused before and after a ship encounters with waves as well as the distribution characteristics of pressure at subcritical or supercritical speed are compared and analyzed, and the influence of waves interference on the temporal and spatial variation characteristics of pressure is revealed, which provides the theoretical basis and technical support for the prediction and identification of ship target under the disturbance of waves environment.

Key words: ship, wave environment, pressure field, fast forecasting algorithm, target characterization

CLC Number: