Significance of including lid thickness and particle shape factor in numerical modeling for prediction of particle trap efficiency of invert trap

IF 3.7 Q1 WATER RESOURCES Water science and engineering Pub Date : 2023-07-17 DOI:10.1016/j.wse.2023.07.003
Salman Beg, Deo Raj Kaushal
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Abstract

Sediment accumulation on the bed of open sewers and drains reduces hydraulic efficiency and can cause localized flooding. Slotted invert traps installed underneath the bed of open sewers and drains can eliminate sediment build-up by catching sediment load. Previous three-dimensional (3D) computational studies have examined the particle trapping performance of invert traps of different shapes and depths under varied sediment and flow conditions, considering particles as spheres. For two-dimensional and 3D numerical modeling, researchers assumed the lid geometry to be a thin line and a plane, respectively. In this 3D numerical study, the particle trapping efficiency of a slotted irregular hexagonal invert trap fitted at the flume bottom was examined by incorporating the particle shape factor of non-spherical sewage solid particles and the thicknesses of upstream and downstream lids over the trap in the discrete phase model of the ANSYS Fluent 2020 R1 software. The volume of fluid (VOF) and the realizable kε turbulence models were used to predict the velocity field. The two-dimensional particle image velocimetry (PIV) was used to measure the velocity field inside the invert trap. The results showed that the thicknesses of upstream and downstream lids affected the velocity field and turbulent kinetic energy at all flow depths. The joint impact of the particle shape factor and lid thickness on the trap efficiency was significant. When both the lid thickness and particle shape factor were considered in the numerical modeling, trap efficiencies were underestimated, with relative errors of −8.66% to −0.65% in comparison to the experimental values of Mohsin and Kaushal (2017). They were also lower than the values predicted by Mohsin and Kaushal (2017), which showed an overall overestimation with errors of −2.3% to 17.4%.

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数值模拟中包含盖厚度和颗粒形状因子对反向阱颗粒阱效率预测的意义
明渠和排水沟河床上的沉积物会降低水力效率,并可能导致局部洪水泛滥。安装在明渠和排水沟河床下的槽式反向沉淀池可以通过捕捉沉淀物负荷来消除沉淀物堆积。以往的三维(3D)计算研究将颗粒视为球体,研究了不同形状和深度的反向沉淀池在不同沉淀物和水流条件下的颗粒捕集性能。在二维和三维数值建模中,研究人员分别将盖子的几何形状假定为一条细线和一个平面。在这项三维数值研究中,通过将非球形污水固体颗粒的颗粒形状系数以及捕集器上下游盖板的厚度纳入 ANSYS Fluent 2020 R1 软件的离散相模型,考察了安装在水槽底部的开槽不规则六边形反向捕集器的颗粒捕集效率。采用流体体积(VOF)和可实现的 k-ε 湍流模型预测速度场。采用二维粒子图像测速仪(PIV)测量反转捕集器内部的速度场。结果表明,上下游盖板的厚度对所有流深的速度场和湍流动能都有影响。颗粒形状系数和盖板厚度对捕集效率的共同影响非常显著。当数值建模同时考虑盖板厚度和颗粒形状系数时,捕集效率被低估,与 Mohsin 和 Kaushal(2017 年)的实验值相比,相对误差为-8.66%至-0.65%。它们也低于 Mohsin 和 Kaushal(2017 年)的预测值,后者显示出整体高估,误差为 -2.3% 至 17.4%。
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来源期刊
CiteScore
6.60
自引率
5.00%
发文量
573
审稿时长
50 weeks
期刊介绍: Water Science and Engineering journal is an international, peer-reviewed research publication covering new concepts, theories, methods, and techniques related to water issues. The journal aims to publish research that helps advance the theoretical and practical understanding of water resources, aquatic environment, aquatic ecology, and water engineering, with emphases placed on the innovation and applicability of science and technology in large-scale hydropower project construction, large river and lake regulation, inter-basin water transfer, hydroelectric energy development, ecological restoration, the development of new materials, and sustainable utilization of water resources.
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