非平衡条件下悬浮液中的粒度分布

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Arun Kumar, Sourav Hossain, Sumit Sen, Shiv Mohan, Koeli Ghoshal
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引用次数: 0

摘要

本文提出了一个模型,用于描述非平衡条件下湍流中可侵蚀沉积床上方悬浮的非均匀沉积物的分布情况。建模过程结合了含泥沙流的三个关键特征:混合长度、分层和沉降速度。k 级粒径的平流-扩散方程也做了相应修改。该模型的计算包括参考高度和参考浓度的确定,同时考虑到水流中存在不同大小的颗粒。该模型的数值解法可有效捕捉不同粒径颗粒在流向和垂直方向上的浓度变化以及时间变化。由于无法获得不同粒径沉积物在非平衡条件下的实验数据,本研究重点关注平衡条件下不同粒径沉积物混合物的具体实验。目前的研究结果表明,对于所有粒径的沉积物,其浓度大小都会随着时间的推移而向下游减小,最终达到平衡状态。这种行为与特定时间内下游距离的变化是一致的。混合长度与浓度有关,在下游距离较小的情况下,所有粒径的悬浮物浓度都会先增加,然后在下游距离较大的情况下,所有粒径的悬浮物浓度都会增加。同时考虑分层和混合长度时,也观察到类似的趋势。误差分析评估了模型的性能,表明包含所有考虑效应的数据集误差最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grain-size distribution in suspension under non-equilibrium conditions

This paper presents a model to characterize the distribution of non-uniform sediment in suspension above erodible sediment beds in turbulent flow under non-equilibrium conditions. The modeling process incorporates three crucial features of sediment-laden flow: mixing length, stratification, and settling velocity. The advection–diffusion equation for the k-th grain-size class is modified accordingly. The model's calculations encompass the determination of reference height and reference concentration, accounting for the presence of different-sized particles in the flow. The numerical solution of the model effectively captures concentration variations for distinct particle sizes in streamwise and vertical directions, as well as temporal changes. As experimental data under non-equilibrium conditions with different sediment sizes are unavailable, the study focuses on specific experiments involving various sediment beds with a mixture of different grain sizes under equilibrium conditions. The current findings reveal that the concentration magnitude decreases downstream with time for all grain sizes, eventually reaching an equilibrium state. This behavior is consistent with variations in downstream distance at a specific time. The mixing length which is concentration-dependent, first increases the suspension concentration for all grain sizes at smaller downstream distance and then the effect reverses for all grain sizes at larger downstream distance. A similar trend is observed when considering both stratification and mixing length. An error analysis evaluates the model's performance, indicating that the least error corresponds to datasets incorporating all considered effects.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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