论文标题
工业尺度大型涡流模拟（LES），具有自适应Octree网格，使用沉浸式分析
Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis
论文作者
论文摘要
我们提出了与Octree网格集成的浸入边界方法的变体，以高效，准确的大涡模拟（LES）在复杂几何形状周围的流量中。我们演示了提出的方法的可扩展性，最高为$ \ MATHCAL {O}（32K）$处理器。这是通过（a）快速进行测试来实现的； （b）自适应正交，以准确评估力； （c）矩阵组装过程中的张力评估。我们在两个非平凡应用程序上展示了此方法：准确地计算跨雷诺数跨雷诺的阻力系数$ 1-10^6 $，包括拖曳危机制度；在半卡车上模拟流量特征，以研究排量对效率的影响。
We present a variant of the immersed boundary method integrated with octree meshes for highly efficient and accurate Large-Eddy Simulations (LES) of flows around complex geometries. We demonstrate the scalability of the proposed method up to $\mathcal{O}(32K)$ processors. This is achieved by (a) rapid in-out tests; (b) adaptive quadrature for an accurate evaluation of forces; (c) tensorized evaluation during matrix assembly. We showcase this method on two non-trivial applications: accurately computing the drag coefficient of a sphere across Reynolds numbers $1-10^6$ encompassing the drag crisis regime; simulating flow features across a semi-truck for investigating the effect of platooning on efficiency.
