水下航行体不规则波中波浪力计算方法研究
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中国船舶集团有限公司第710研究所

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国防科工局基础科研项目


Research on Wave Load Calculation Method for Underwater Vehicles in Irregular Waves
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NO.710 R D Institute,CSIC

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Basic Research Projects of the National Defense Science and Industry Bureau

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    摘要:

    针对水下航行体不规则波中波浪力计算的问题,本文基于三维边界元方法,考虑有限水深的影响,开展了不同航速、航行深度和海况等级下的波浪力特性研究。首先建立了适用于水下航行体波浪力计算的三维边界元模型,随后采用数值积分方法解算速度势,并通过脉冲响应函数方法获得不规则波中航行体的波浪力和力矩时历数据。通过模型试验结果验证了该方法的有效性,最后对不同工况下的波浪力时历数据进行了统计分析。研究结果表明,增加航行深度可以显著降低波浪力,而恶劣的海况条件会显著增加波浪力。本文提出的基于三维边界元法的波浪力数值计算方法能够有效预测水下航行体在不同工况下的波浪力特性。研究结果为优化水下航行体的设计与控制提供了重要的理论支持和实际应用价值。

    Abstract:

    This paper focuses on the issue of wave load calculation for underwater vehicles in irregular waves. It establishes a three-dimensional boundary element method model that considers the influence of finite water depth, and analyzes the wave load characteristics under different speed, depth, and sea state conditions. Specifically, the study develops a three-dimensional boundary element method model for calculating the wave loads on underwater vehicles. This model uses a numerical integration method to solve the velocity potential, and employs the impulse response function approach to obtain the time history data of wave forces and moments acting on the vehicle in irregular waves. The validity of this method has been verified through model test results. Furthermore, statistical analyses have been performed on the time history data under various operating conditions. The research findings indicate that increasing the navigation depth can significantly reduce the wave loads, while adverse sea states can lead to a significant increase in wave loads. The three-dimensional boundary element method based numerical method proposed in this paper can effectively predict the wave load characteristics of underwater vehicles under different conditions. The results provide important theoretical support and practical application value for optimizing the design and control of underwater vehicles.

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  • 收稿日期:2024-06-06
  • 最后修改日期:2024-07-02
  • 录用日期:2024-07-16
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