利用大涡流模拟预测试验通风室内的流体停留时间

IF 2.5 3区 工程技术 Q2 MECHANICS
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引用次数: 0

摘要

我们研究了大涡流模拟(LES)预测通风房间内流体停留时间的能力。在入口通风槽宽度与房间宽度一致的情况下,我们根据实验进行了验证。在粗网格上,Smagorinsky 子网格尺度模型对流动统计有不利影响,而 WALE 和 Germano-Lilly 模型则表现良好。细化网格与参考数据非常接近。使用窄入口槽进行的模拟表明,与宽入口槽配置相比,流动变得更加立体,室内形成了成对的螺旋涡流,并改变了再循环模式。获得的 LES 统计数据表明,与传统的 RANS 建模技术相比,对速度场的预测有所改进。流体龄概率密度函数显示,在室内可以观察到围绕平均值的各种停留时间值。LES 能够对简化通风房间进行精确预测,而停留时间概率密度函数分布则有助于改进通风策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Large Eddy Simulation to predict fluid residence time in a test ventilated room

We study the capability of Large Eddy Simulation (LES) to predict fluid residence time in a ventilated room. Validation is performed against an experiment where the inlet vent slot width matches that of the room. On a coarse grid, the Smagorinsky subgrid-scale model has a detrimental effect on flow statistics, whilst the WALE and Germano–Lilly models perform well. A refined grid produces close agreement with the reference data. A simulation with a narrow inlet slot demonstrates that the flow becomes three-dimensional, with pairs of spiral vortices forming in the room and altering the recirculation pattern when compared to the wide inlet slot configuration. The obtained LES statistics show improvements in the prediction of velocity field over conventional RANS modelling techniques. Fluid age probability density functions show that a wide range of residence time values around the mean value can be observed within the room. LES is capable of providing accurate predictions in a simplified ventilated room, and residence time probability density function distributions can be useful for the improvement of ventilation strategies.

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来源期刊
CiteScore
5.90
自引率
3.80%
发文量
127
审稿时长
58 days
期刊介绍: The European Journal of Mechanics - B/Fluids publishes papers in all fields of fluid mechanics. Although investigations in well-established areas are within the scope of the journal, recent developments and innovative ideas are particularly welcome. Theoretical, computational and experimental papers are equally welcome. Mathematical methods, be they deterministic or stochastic, analytical or numerical, will be accepted provided they serve to clarify some identifiable problems in fluid mechanics, and provided the significance of results is explained. Similarly, experimental papers must add physical insight in to the understanding of fluid mechanics.
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