带自由表面水流的分离涡模拟（英文）

发布时间：2018-03-30 18:50

  本文选题：分离涡　切入点：拟序结构　出处：《空气动力学学报》2016年02期

【摘要】：目前水动力学问题的数值求解仍然广泛采用RANS模型,特别对于大尺度的地表水流的数值模拟,该类模型计算效率较高,但其难以给出湍流场的小尺度涡结构。深入研究复杂地形条件下的水流运动,需要发展诸如LES等的高级数值模型。天然地表水流,地形、边界复杂,雷诺数通常较高,高级数值模拟受限于计算能力的限制,还难以工程应用。RANS和LES混合模型是目前具有工程应用的一种混合数值模型,其已经在CFD领域获得了长足发展。然而对于地表水流运动的数值模拟,相关工作还较少。本文将分离涡模型(DES),即一种RANS和LES的混合模型,应用于带自由表面的地表水流运动,建立了一套数值仿真模型。模型基于有限体积法,水平面内采用非结构计算网格,垂向为结构化网格,对流项离散格式采用二阶TVD格式,并行基于OpenMP语言库。算例表明DES模型有助于揭示复杂地形条件下带自由表面水流的大涡拟序结构。
[Abstract]:At present, RANS model is still widely used in the numerical solution of hydrodynamic problems, especially for large-scale surface water flow numerical simulation, this kind of model is more efficient. But it is difficult to give the small scale vortex structure of turbulent field. In order to study the flow motion in complex terrain, we need to develop advanced numerical model such as LES. Natural surface water flow, topography, complex boundary, high Reynolds number, etc. The advanced numerical simulation is limited by the computational ability, and it is difficult to apply the mixed model of. Rans and LES, which is a kind of mixed numerical model with engineering application at present. It has made great progress in the field of CFD. However, there is little work on numerical simulation of surface water flow motion. In this paper, the separated vortex model, a mixed model of RANS and LES, is applied to the surface water flow motion with free surface. A set of numerical simulation models is established. The model is based on finite volume method. In the horizontal plane, the unstructured grid is used, the vertical grid is structured, and the second order TVD scheme is used for the convection term discretization scheme. The parallel model is based on the OpenMP language library. The example shows that the DES model is helpful to reveal the large vorticity quasi sequence structure with free surface flow under complex terrain conditions.
【作者单位】： 上海交通大学水动力学教育部重点实验室;上海河口海岸科学研究中心河口海岸交通行业重点实验室;上海交通大学船舶海洋与建筑工程学院;
【基金】：Jointly supported by the National Natural Science Foundation(No.11572196) the National Basic Research Program of China(No.2014CB046200) the Non-Profit Industry Financial Program of MWR(201401027)
【分类号】：O352
，

本文编号：1687193