A second‐order Lagrangian stochastic model for particle trajectories in inhomogeneous turbulence
A second‐order Lagrangian stochastic model for particle trajectories in inhomogeneous turbulence
复制标题
非均匀湍流中粒子轨迹的二阶拉格朗日随机模型
DOI：
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发表时间：
1999
期刊：
影响因子：
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通讯作者：
By A. M. Reynolds
中科院分区：
文献类型：
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作者：
By A. M. Reynolds
将Du等人的均匀湍流中颗粒轨迹的二阶拉格朗日随机模型推广到非均匀湍流。该模型与实验室尺度对流边界层和中性稳定风洞边界层的实验弥散数据吻合良好。数值模拟的结果表明，有限雷诺数效应在确定这些流动中分散的示踪剂颗粒的平均浓度方面并不重要。通过优化模型与实验弥散数据的一致性获得的拉格朗日速度结构函数常数值的估计值被发现与流量有关。
The second‐order Lagrangian stochastic model of Du et al. for particle trajectories in homogeneous turbulence is extended to inhomogeneous turbulence. the model is shown to be in good agreement with experimental dispersion data for laboratory‐scale convective boundary layers and for a neutrally stable wind‐tunnel boundary layer. the results of numerical simulations suggest that finite Reynolds number effects are not important in determining the mean concentrations of tracer particles dispersing in these flows. Estimates for the value of the Lagrangian velocity structure function constant, obtained by optimizing model agreement with experimental dispersion data, are found to be flow‐dependent.