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Performance of Reynolds Averaged Navier-Stokes Models in Predicting Separated Flows: Study of the Hump Flow Model Problem

机译:雷诺平均Navier-Stokes模型在预测分离流中的性能:驼峰流模型问题的研究

摘要

Separation can be seen in most aerodynamic flows, but accurate prediction of separated flows is still a challenging problem for computational fluid dynamics (CFD) tools. The behavior of several Reynolds Averaged Navier-Stokes (RANS) models in predicting the separated ow over a wall-mounted hump is studied. The strengths and weaknesses of the most popular RANS models (Spalart-Allmaras, k-epsilon, k-omega, k-omega-SST) are evaluated using the open source software OpenFOAM. The hump ow modeled in this work has been documented in the 2004 CFD Validation Workshop on Synthetic Jets and Turbulent Separation Control. Only the baseline case is treated; the slot flow control cases are not considered in this paper. Particular attention is given to predicting the size of the recirculation bubble, the position of the reattachment point, and the velocity profiles downstream of the hump.
机译:在大多数空气动力学流中都可以看到分离,但是对于计算流体动力学(CFD)工具,分离流的准确预测仍然是一个具有挑战性的问题。研究了几种雷诺平均Navier-Stokes(RANS)模型在预测壁挂驼峰上的分离流时的行为。使用开源软件OpenFOAM评估了最流行的RANS模型(Spalart-Allmaras,k-epsilon,k-omega,k-omega-SST)的优缺点。在2004年的CFD合成射流和湍流分离控制CFD验证讲习班中记录了此工作中模拟的驼峰。仅基线情况得到治疗;本文不考虑时隙流控制的情况。尤其要注意预测再循环气泡的大小,重新连接点的位置以及驼峰下游的速度曲线。

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