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P~2 cavity operator and Riemannian curved edge length optimization: a path to high-order mesh adaptation

机译:P〜2腔操作员和黎曼曲线长度优化:高阶网格适应的路径

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We present a new P~2 extension of the P~1 cavity operator used as the basis for topological modification in 3D metric based mesh adaptation, with notable success in strongly anisotropic industrial cases of CFD. The P~2 operator inherits the P~1 cavity operator's robustness - mesh validity is guaranteed at all times - and manages to recover a metric field's inherent curvature through a Riemannian edge length optimization algorithm. This generic approach allows it to tackle a variety of problems, which are defined only by the input metric field such as the classic problem of surface approximation - through a geometric error surface metric propagated to the volume - or unit mesh construction such as for interpolation error minimization through high-order L~p error estimates.Consistence with the log-euclidian metric interpolation scheme used in P~1 adaptation is obtained by a rigorous formulation of the optimization problem. This guarantees full compliance of the operator with the general adaptation process, by accurately measuring Riemannian edge lengths.Particular stress was put on the performance of the operator because of its central role in anisotropic mesh adaptation. All curving operations are carried out locally: this is in opposition with global approaches, be they optimization or PDE based. The optimization itself is carried out by an inhouse solver tailored to the problem at hand. As a result, the added cost is strictly linear.Numerical results illustrating the P~2 cavity operator's ability to recover curvature, be it surface curvature extended to boundary layers or metric field induced curvature of the volume, will be presented through cases representative of real-world geometries encountered in CFD. Finally, the operator's ability to handle rather large cases (10M elements) in minutes will be demonstrated.
机译:我们介绍了P〜1腔操作员的新P〜2延伸,用作3D公制基于网格适应的拓扑改造的基础,在CFD的强大各向异性工业案例中具有显着成功。 P〜2操作员继承P〜1腔操作员的鲁棒性 - 网格有效性在所有时间都保证 - 并管理通过riemannian边缘长度优化算法来恢复公制字段的固有曲率。这种通用方法允许它解决各种问题,这些问题仅由诸如表面近似的经典问题的输入度量字段来定义 - 通过传播到诸如用于插值误差的卷或单位网状结构的几何误差面度量通过高阶L〜P误差估计最小化。通过对优化问题的严格制定来获得P〜1自适应中使用的日志欧几里德度量插值方案。这保证了操作员通过准确测量Riemannian边缘长度的一般适应过程完全符合普通适应过程。由于其在各向异性网格适应中的核心作用,Puticular应力提出了操作员的性能。所有弯曲操作都在当地进行:这与全局方法相反,它们是优化或基于PDE的。优化本身由一个针对手头的问题量身定制的Inhouse Solver进行的。结果,增加的成本是严格的线性。显示P〜2腔操作者恢复曲率的能力,将其表面曲率延伸到边界层或度量场逼真的体积凸起的能力,将通过代表实际代表的情况提出 - 在CFD中遇到的World几何形状。最后,将证明运营商在几分钟内处理相当大的案例(10M元素)的能力。

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