Numerical simulation and modelling of non-equilibrium flows in hydro-power applications

这一建议解决了一个对水电工业至关重要的问题，即开发准确的模型来预测远离平衡的湍流中粗糙表面上的流动。将考虑两种情况：弯曲管道中的分离流和经历系统旋转的粗糙通道中的流动。我们将使用湍流的直接和大涡模拟(DNS和LES)来验证用于工业中常用的雷诺平均的N-S方程的模型。虽然DNSS和大涡模拟的雷诺数低于实际应用中的雷诺数，但大涡模拟应该能够达到完全粗糙的区域，从而使模拟结果扩展到实际应用中。拟议的研究将在几个方面使加拿大受益：第一，它将培训一名博士生和一名计算科学博士；第二，它将产生关于存在旋涡、曲率、系统旋转和分离的粗糙壁边界层物理的基本知识。最后，它将开发有利于发电行业的预测模型(并可能扩展到其他应用领域)，并可能显著提高效率和节省资金。

This proposal addresses a problem of critical importance for the hydroelectric power industry, the developmentof accurate models for the prediction of the flow over rough surfaces, in turbulence far from equilibrium. Twocases will be considered: a separating flow in a curved duct, and the flow in a rough channel undergoing systemrotation. We will use direct and large-eddy simulations (DNS and LES) of turbulence to validate the modelsfor the Reynolds-Averaged Navier-Stokes equations that are commonly used in industry. Although the DNSand LES will be performed at Reynolds numbers lower than those in actual applications, the LES should beable to achieve the fully rough regime that allows to extend the simulation results to practical applications. Theproposed research will benefit Canada in several ways: first, it will train one PhD student and one PDF in thecomputational sciences; secondly, it will generate fundamental knowledge on the physics of rough-wallboundary layers in the presence of swirl, curvature, system rotation and separation. Finally, it will developprediction models that will benefit the power generation industry (and may be extended to other areas ofapplication), and can potentially result in significant efficiency increases and financial savings.