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An Automated Viscous Adaptive Cartesian Grid Generation Method for Complex Geometries

机译:复杂几何形状的自动粘性自适应笛卡尔网格生成方法

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An automated, viscous, adaptive-Cartesian grid generation method for complex geometries is presented. The fully automated nature of the method is demonstrated by its requirement for only a single user input, the Reynolds number. Given a surface geometry, an Octree based adaptive Cartesian grid is produced automatically. A viscous-layer grid is then "inserted" between the Cartesian grid and the body surface through a projection technique. The thickness of the viscous layer grid is determined from the user-defined Reynolds number. The method completely avoids cell-cutting, and guarantees the convexity of all computational cells. The new technique is demonstrated on several test geometries, including an F-16 aircraft.
机译:提出了一种用于复杂几何形状的自动,粘性,自适应笛卡尔网格生成方法。该方法的全自动性质通过仅需单个用户输入(雷诺数)的要求就得以证明。给定表面几何形状,将自动生成基于Octree的自适应笛卡尔网格。然后通过投影技术将粘性层网格“插入”到笛卡尔网格和身体表面之间。粘性层栅格的厚度由用户定义的雷诺数确定。该方法完全避免了单元切割,并保证了所有计算单元的凸性。这项新技术已在包括F-16飞机在内的多种测试几何体上得到了证明。

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