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Recent Improvements on Cavity-Based Operators for RANS Mesh Adaptation

机译:基于腔的算子用于RANS网格自适应的最新改进

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If anisotropic mesh adaptation has been a reliable tool to predict inviscid flows, its use with viscous flows at high Reynolds number remains a tedious task. Indeed many issues tends to limit the efficiency of standard remeshing algorithms based on local modifications. First, the high Reynolds number require to handle a very high level of anisotropy O(1 : 10~6) near the geometry. In the range of anisotropy, interpolation of metric fields or the projection on geometry are typical components that may fail during an adaptive step. The need for high-resolution near the geometry imposes to use an accurate geometry description, and optimally, be linked to a continuous CAD geometries. However, the boundary layer sizing may become smaller than typical CAD tolerance. We present a simple hierarchical geometry approximation where the newly created points are projected linearly, then using a cubic approximation then the CAD data. Finally, the accuracy, speed of convergence of the flow solver highly depends on the topology of the grids. Typical quasi-structured grids are preferred in the boundary layer while this kind of grids are complicated to generate with typical anisotropic meshing algorithm. We discuss in this paper, new developments in metric-orthogonal approach where an advancing points techniques is used to propose new points. Then these newly created points are inserted by using the cavity operator.
机译:如果各向异性网格自适应已经成为预测无粘性流的可靠工具,那么将其与高雷诺数的粘性流一起使用仍然是一项繁琐的任务。实际上,许多问题趋于限制基于局部修改的标准重划算法的效率。首先,高雷诺数要求在几何附近处理非常高的各向异性O(1:10〜6)。在各向异性范围内,度量字段的插值或几何图形上的投影是可能在自适应步骤中失败的典型组件。在几何图形附近需要高分辨率,这要求使用准确的几何图形描述,并且最好将其链接到连续的CAD几何图形。但是,边界层的尺寸可能会小于典型的CAD公差。我们提出了一个简单的层次几何近似,其中新创建的点被线性投影,然后使用三次近似,然后使用CAD数据。最后,流量求解器的准确性,收敛速度在很大程度上取决于网格的拓扑。在边界层中首选典型的准结构化网格,而使用典型的各向异性网格划分算法则很难生成此类网格。我们将在本文中讨论公制-正交方法的新发展,其中采用了先进的点技术来提出新的点。然后,使用空腔运算符插入这些新创建的点。

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