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基于局部特征尺寸场的边界层网格生成算法

Boundary Layer Mesh Optimization Algorithm Based on Local Feature Size
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摘要 边界层网格的质量是影响计算流体力学中粘性计算精度的关键因素,如何在给定任意复杂模型下生成高质量的边界层网格仍是计算流体力学中的瓶颈。针对边界层网格的质量问题,本文提出一种基于局部特征尺寸场的边界层网格生成算法。该方法将表面网格顶点的最大推进高度作为局部特征尺寸场,并基于局部特征尺寸场构造顶点密度场,在密度场引导下进行保质量与保特征的表面三角网格重网格化,最终在新的表面三角网格上生成边界层网格。实验表明本文方法能在给定任意复杂模型下鲁棒地生成高质量的边界层网格。 The quality of the boundary layer mesh is a important factor affecting the accuracy of viscous calcu-lations in computational fluid dynamics, and how to generate a high quality boundary layer mesh for a given arbitrary complex model is still a bottleneck in computational fluid dynamics. To ad-dress the boundary layer mesh quality optimization problem, this paper proposes a boundary layer mesh generation algorithm based on the local feature size. The method takes the maximum ad-vance height of the surface mesh vertices as the local feature size field, and constructs the vertex density field based on the local feature size, then remesh the surface triangular mesh under the guidance of the density field to preserve the quality and features, and finally generates the bound-ary layer mesh on the new surface triangular mesh. Experiments show that the method in this pa-per can robustly generate high quality boundary layer meshes for a given arbitrary complex model.
作者 陈林祺 周颖
出处 《建模与仿真》 2023年第4期3464-3471,共8页 Modeling and Simulation
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