Department of Civil Engineering, University of Coimbra, Coimbra, Portugal E-mail:
Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
Water Sci Technol. 2017 Apr;2017(1):87-98. doi: 10.2166/wst.2018.089.
Flows in manholes are complex and may include swirling and recirculation flow with significant turbulence and vorticity. However, how these complex 3D flow patterns could generate different energy losses and so affect flow quantity in the wider sewer network is unknown. In this work, 2D3C stereo Particle Image Velocimetry measurements are made in a surcharged scaled circular manhole. A computational fluid dynamics (CFD) model in OpenFOAM with four different Reynolds Averaged Navier Stokes (RANS) turbulence model is constructed using a volume of fluid model, to represent flows in this manhole. Velocity profiles and pressure distributions from the models are compared with the experimental data in view of finding the best modelling approach. It was found among four different RANS models that the re-normalization group (RNG) k-ɛ and k-ω shear stress transport (SST) gave a better approximation for velocity and pressure.
检查井中的水流十分复杂，可能包括漩涡和回流，同时伴有显著的紊流和涡度。然而，这些复杂的三维流动模式如何产生不同的能量损失，从而影响更广泛的下水道网络中的流量，目前尚不清楚。在这项工作中，使用二维三维立体粒子图像测速技术对超负荷的缩放圆形检查井进行了测量。使用 OpenFOAM 中的计算流体动力学（CFD）模型和一个体积流模型构建了四个不同的雷诺平均纳维-斯托克斯（RANS）紊流模型，以表示该检查井中的流动。为了找到最佳的建模方法，对模型中的速度剖面和压力分布与实验数据进行了比较。在四种不同的 RANS 模型中发现，重整化群（RNG）k-ɛ和 k-ω剪切应力输运（SST）模型更能准确地模拟速度和压力。
