The results of recent maritime accident investigations show that many shipwrecks are related to the attack of freak waves, which can sink ships instantaneously with colossal energy. To identify and forecast freak waves accurately and avoid the danger of freak waves to marine structures and people, we have conducted further research on three-dimensional(3-D) freak waves. In this paper, we propose an efficient computational modeling of time-invariant 3-D freak waves and simulate the time-series evolution process of 3-D freak waves. We study the scattering characteristics of time-invariant 3-D freak waves and obtain a more explicit identification of their scattering differences. And we calculate the electromagnetic scattering view of the temporal evolution of 3-D freak waves through experiments. The experiments show that the research in this paper can identify and predict 3-D freak waves more effectively, further improve the forecast accuracy of future freak waves. It also have some application value for 3-D freak wave risk warnings.

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Numerical Calculation and Identification of 3D Time-Invariant Freak Waves Based on JONSWAP Spectrum and Donelan Direction Function

  • Geng-Kun Wu,
  • Ruo-Yu Li,
  • Li-Chen Han,
  • Bin Liu

摘要

The results of recent maritime accident investigations show that many shipwrecks are related to the attack of freak waves, which can sink ships instantaneously with colossal energy. To identify and forecast freak waves accurately and avoid the danger of freak waves to marine structures and people, we have conducted further research on three-dimensional(3-D) freak waves. In this paper, we propose an efficient computational modeling of time-invariant 3-D freak waves and simulate the time-series evolution process of 3-D freak waves. We study the scattering characteristics of time-invariant 3-D freak waves and obtain a more explicit identification of their scattering differences. And we calculate the electromagnetic scattering view of the temporal evolution of 3-D freak waves through experiments. The experiments show that the research in this paper can identify and predict 3-D freak waves more effectively, further improve the forecast accuracy of future freak waves. It also have some application value for 3-D freak wave risk warnings.