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水力发电学报 ›› 2018, Vol. 37 ›› Issue (8): 29-37.doi: 10.11660/slfdxb.20180804

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采用随机游走方法模拟垂向二维波浪流中物质输移扩散

  

  • 出版日期:2018-08-25 发布日期:2018-08-25

Random walk simulations of scalar mixing in vertical two-dimensional water waves

  • Online:2018-08-25 Published:2018-08-25

摘要: 应用随机游走方法研究了垂向二维波浪流中的纵向离散现象。作为目前新兴的拉格朗日方法,此模型首先用于计算一理想条件下的周期振荡剪切流中的纵向离散系数,并与解析解对比,二者非常吻合,证明了模型在计算此类非恒定流的有效性。然后模型被应用于水波环境中,其中流场及自由水面分别由线性波理论和Stokes波理论计算,模拟得到的纵向离散系数与半经验公式相吻合,并发现Stokes波理论下计算得到的纵向离散系数较线性波稍大。此外,还讨论了包括时间步长和粒子数量等计算参数的选取。最后,模拟了不同水波参数及扩散系数条件下的纵向离散,分析了各项系数对于纵向离散系数的影响。发现纵向离散系数随扩散系数的增大而减小,而水波中水深及波高的增大都会导致纵向离散系数的增大,其中波高影响更为剧烈;相反地,纵向离散系数会随着周期的增大而减小。

Abstract: This paper applies a random walk method to simulate scalar transport and dispersion in vertical two-dimensional wave flows. First, this Lagrangian model is verified against an idealized problem involving unsteady shear flows, and a good agreement between the simulated and analytical values of dispersion coefficient and demonstrates its validity. Then, flow velocities and water surface profiles of the water waves are formulated based on the linear and second order Stokes wave theories. The wave flows and their longitudinal dispersion coefficients are numerically simulated and compared between the two theories, showing high accuracy of the random walk method. We also discuss the choice of the control parameters in the model, such as particle number and time step, for a good balance between the computational cost and accuracy. Finally, parameter sensitivity is analysed. We find that longitudinal dispersion coefficient is, as expected, inversely proportional to diffusion coefficient or wave period, while it increases with the increase in water depth and wave height.

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