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Development and Validation of a Multi-Strand Solver for Complex Aerodynamic Flows

机译:复杂空气动力流量的多股求解器的开发与验证

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The strand grid approach is a flow solution method where a prismatic-like grid using "strands" is grown to a short distance from the body surface to capture the viscous boundary layer and the rest of the domain is covered using an adaptive Cartesian grid. The approach offers several advantages in terms of nearly automatic grid generation and adaptation, ability to implement fast and efficient flow solvers that use structured data in both the strand and Cartesian grids, and the development of efficient and highly scalable domain connectivity algorithm. An improvement to this approach is the multi-strand strategy, where multiple strands are allowed from each surface vertex to enhance grid resolution near sharp corners. This paper introduces a fully parallel and highly efficient flow solver called mStrand that is developed from ground-up to operate on multi-strand meshes. The strand solver is integrated to HPCMP CREATE?-AV Helios framework to simulate complex aerodynamic flows. Detailed validation of the solver is shown on problems with varying degrees of complexity and comparison with experimental data. A performance study shows that the strand solver is nearly as efficient as a structured grid solver.
机译:股线栅格方法是一种流动解决方法,其中使用“股线”的棱镜状网格从主体表面生长到距离主体表面的短距离,以捕获粘性边界层,并且使用自适应笛卡尔栅格覆盖域的其余部分。该方法在几乎自动电网生成和适应方面提供了几个优点,能够实现在股线和笛卡尔电网中使用结构化数据的快速和高效的流量求解,以及高效且高度可扩展的域连接算法的发展。对该方法的改进是多链策略,其中每个表面顶点允许多条股线,以增强尖角附近的网格分辨率。本文介绍了一个完全平行且高效的流动求解器,称为Mstrand,该求解器是从地上开发的,以在多股网格上运行。 STRAND求解器集成到HPCMP创建?-AV Helios框架以模拟复杂的空气动力流量。求解器的详细验证显示出存在不同程度的复杂性和与实验数据的比较的问题。绩效研究表明,股线求解器几乎与结构化网格求解器有效。

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