论文部分内容阅读
该文基于雷诺平均的Navier-Stokes方程和k-ω两方程紊流模型建立了随机波浪边界层数学模型,模拟了粗糙底床上方的随机波浪边界层流速、床面剪切应力和紊动能量分布,计算结果与实测数据吻合良好。探讨了随机波浪边界层水动力特性,发现随机波浪时间序列中各个子波的紊动能量近似随该子波均方根自由振荡速度平方的增大而线性增大,但各个子波的紊动能量还受到上一个子波紊动能量传递的影响,体现了随机波浪与规则波浪的区别。整个随机波浪时间序列的有效摩阻系数和单个子波的摩阻系数均与前人实验数据和经验公式较为一致。
Based on the Reynolds-averaged Navier-Stokes equations and the k-ω two-equation turbulence model, a mathematical model of stochastic wave boundary layer is established. The flow velocity, bed shear stress and turbulent energy of random wave boundary layer above the rough bed are simulated. Distribution, the calculated results and measured data agree well. The hydrodynamic characteristics of stochastic wave boundary layer are discussed. It is found that the approximation of the turbulent energy of each wave in the stochastic wave time series increases linearly with the square of the free-running velocity of the wavelet, but the turbulence The energy is also affected by the turbulent energy transfer of the previous wavelet, reflecting the difference between a random wave and a regular wave. The effective friction coefficient and the friction coefficient of a single wavelet over the entire random wave time series are consistent with the previous experimental data and empirical formulas.