Development and evaluation of advanced turbulence models for high Reynolds number separated flows

当前工业计算流体动力学中的限制因素之一是大尺度结构（可能不是湍流）由基于统计模型（RANS）的方法表示的方式。目前工业应用中最精确的方法（大涡模拟，LES）在很大程度上仍然不实用（就成本而言，而且就需要建模的物理学而言）。在Simcenter STAR-CCM+（一种领先的CFD软件，由Siemens PLM开发）中开发了一种结合这两种方法（混合RANS/LES）的方法，该项目的目的是改进这种方法（最初在简单、规范、低雷诺数情况下推导和验证），用于高雷诺数分离流。特别是，重点将放在海上平台的优化上，以提高其运营效率并降低事故发生的概率。

One of the limiting factors in current industrial Computational Fluid Dynamics is the way large-scale structures, that might not be turbulent, are represented by methods based on statistical models (RANS). The most accurate method available today for industrial applications (Large-Eddy simulation, LES) still remains largely unpractical (in terms of cost, but also in terms of physics that need to be modeled). A method combining both approaches (Hybrid RANS/LES) has been developed in Simcenter STAR-CCM+ (a leading CFD software, developed by Siemens PLM) and the aim of the project is to improve this methodology (originally derived and validated on simple, canonical, low Reynolds number cases) for high Reynolds number separated flows. In particular, the focus will be on the optimization of offshore platforms in order to increase their operational efficiency and to reduce the probability of incidents.