修正的随机扩散颗粒跟踪模型(MSDPTM)结合了能量级联理论和涡流间歇,用于明渠水流中的悬浮泥沙输运。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Shi-Wei Lin, Shiv Mohan, Christina W Tsai
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引用次数: 0

摘要

本研究提出了一种改进的随机扩散颗粒跟踪模型(MSDPTM),该模型结合了能量级联理论,可更精确地模拟悬浮泥沙输运。湍流漩涡对沉积物颗粒的影响是一个间歇过程,本研究也考虑了这一点。该研究利用漩涡周转时间研究了漩涡之间的时间相关性,发现尺度较近的漩涡比尺度较远的漩涡表现出更高的相关性。计算了粒子运动的统计特性,如粒子轨迹的集合均值和方差,并与随机扩散粒子追踪模型(SDPTM)的结果进行了比较。值得注意的是,与其他粒子跟踪模型相比,具有间歇性的 MSDPTM 在流向上显示出明显更大的粒子轨迹集合平均值。通过与现有数据的比较,验证了所提出的模型,显示其性能有所提高。模拟结果表明,MSDPTM 的性能优于 SDPTM,尤其是在考虑到漩涡的间歇效应时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified stochastic diffusion particle-tracking model (MSDPTM) incorporating energy cascade theory and eddy intermittency for suspended sediment transport in open channel flow.

This study presents a modified stochastic diffusion particle tracking model (MSDPTM) that incorporates energy cascade theory to more accurately simulate suspended sediment transport. The impact of turbulent eddies on sediment particles is an intermittent process, which is also considered in this study. The study examines the time correlation between eddies using eddy turnover time and finds that closer-scale eddies exhibit higher correlations than those farther apart. The statistical properties of particle movement, such as the ensemble mean and variance of particle trajectories, have been calculated and compared with the stochastic diffusion particle tracking model (SDPTM) results. Notably, MSDPTM with intermittency demonstrates a significantly larger ensemble mean of particle trajectories in the streamwise direction than other particle tracking models. The proposed model is validated through comparison with available data, showing its enhanced performance. The results of the simulation indicate that MSDPTM outperforms SDPTM, especially when the intermittency effect of eddies is considered.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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