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Adaptive finite-volume solution of complex turbulent flows

机译：复杂湍流的自适应有限体积解

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This paper describes an automatic local grid adaptation procedure driven by an evaluation of the differential residuals of the RANS equations computed using a higher-order reconstruction operator. A suitable data structure is developed for the local mesh adaptation process to be flexible and low CPU time consuming. The whole procedure is designed in the framework of finite-volume methods on unstructured grids. To avoid the appearance of ill-conditioned near-wall cells in the vicinity of curved surfaces of bodies a global mesh deformation technique is used. The whole procedure is applied to a complex turbulent flow around a high-lift multiple element airfoil in take-off configuration using the Spalart-Allmaras turbulence model. The adaptation is controlled by as many indicators as there are equations involved in the problem. It is demonstrated that the proposed methodology performs rigorous local adaptive mesh refinement and automatically achieves grid independent results. Thus, interesting gains are obtained in terms of CPU time, memory requirement and user effort compared to single mesh computations.
机译：本文介绍了一种自动局部网格自适应程序，该程序由对使用高阶重构算子计算出的RANS方程的微分残差的评估来驱动。为本地网格自适应过程开发了合适​​的数据结构，以使其灵活且耗时少。整个过程是在非结构化网格上的有限体积方法框架内设计的。为了避免在主体曲面附近出现病态的近壁单元，使用了整体网格变形技术。使用Spalart-Allmaras湍流模型，将整个过程应用于起飞状态下高升力多元素机翼周围的复杂湍流。适应由与问题中涉及的方程式一样多的指标来控制。结果表明，所提出的方法进行了严格的局部自适应网格细化，并自动获得了网格无关的结果。因此，与单网格计算相比，在CPU时间，内存需求和用户工作量方面获得了有趣的收益。

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