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海洋浮体结构物设计:水动力系数的预测

Design of Ocean Floating Structures: Prediction of Hydrodynamic Coefficients

  • 摘要:
      目的  精确计算海洋浮体结构物的流体力学系数和研究浮体在海洋自由表面上的流场分布对于增强海洋结构物工程设计应用至关重要。
      方法  本研究利用计算流体动力学(CFD)方法,采用雷诺平均纳维-斯托克斯(RANS)方法,考虑了粘度和自由表面相互作用对浮体结构水动力的影响。通过采用动态网格技术,文章模拟了简化三维(3D)形状(球体、圆柱体和立方体)的周期性运动,这些形状用来简化代表复杂的海洋结构。利用流体体积(VOF)方法来精确跟踪自由表面的非线性行为。在该分析中,计算了各种频率的基本运动模式(纵荡、垂荡和横摇)的附加质量和阻尼系数,从而有助于快速确定在浮体结构上的流体作用力和力矩。
      结果  这项研究的结果不仅与三维势流理论的结果基本吻合,还进一步反映了粘度的作用。该方法可用于精准计算浮体结构物的水动力系数和描述此类结构在自由表面运动的流场。
      结论  所提出的方法超越了传统的势流方法。

     

    Abstract:
      Introduction  Accurate calculation of the hydrodynamic coefficients for floating structures and the investigation of the flow field distribution around floating bodies on the marine free surface are essential for improving the engineering design and application of marine structures.
      Method  This study utilized the computational fluid dynamics (CFD) approach and the Reynolds Averaged Navier-Stokes (RANS) method and considered the effects of viscosity and free surface interactions on the hydrodynamic behavior of floating structures. By employing the dynamic mesh technique, this study simulated the periodic movements of simplified three-dimensional (3D) shapes: spheres, cylinders, and cubes, which were representative of complex marine structures. The volume of fluid (VOF) method was leveraged to accurately track the nonlinear behavior of the free surface. In this analysis, the added mass and damping coefficients for the fundamental modes of motion (surge, heave, and roll) were calculated across a spectrum of frequencies, facilitating the fast determination of hydrodynamic forces and moments exerted on floating structures.
      Result  The results of this study are not only consistent with the results of the 3D potential flow theory but also further reflect the role of viscosity. This method can be used for precise calculation of the hydrodynamic coefficients of floating structures and for describing the flow field of such structures in motion on a free surface.
      Conclusion  The methodology presented goes beyond the traditional potential flow approach.

     

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