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基于混合网格和CGNS(CFD General Notation System)数据结构,建立了一种各向同性加密/稀疏的网格自适应方法。在悬空点的后处理中,让含有悬空点的单元转化为任意多面体,从而简化了自适应单元剖分模版,同时自适应网格单元之间可完全相容,自适应生成的网格能够直接用于可处理任意多面体的流场求解器。将该自适应方法与脱体涡模拟(DES)算法相结合,开展了65°后掠三角翼大迎角流动的数值模拟应用,并与初始网格的模拟结果进行了详细比较。对比表明:采用网格自适应方法适当增加局部网格量,能够以较小的成本迅速提高三角翼背风区的空间分辨率,增强数值模拟对小尺度涡系结构的解析能力,从而弥补了基于混合网格的脱体涡模拟中常用二阶格式计算的空间分辨率相对偏低、不利于湍流多尺度结构精细模拟的不足。
Based on the data structure of hybrid grid and CGNS (CFD General Notation System), an isotropic encryption / sparse grid adaptive method was established. In the post-processing of dangling points, cells with dangling points are transformed into arbitrary polyhedrons, which simplifies the adaptive cell splitting template and the adaptive grid cells are completely compatible. The adaptively generated grid can be directly Flow solver for any polyhedron. Combining this adaptive method with the DES algorithm, the numerical simulation of the high angle of attack of the 65 ° sweep wing is carried out and compared with the simulation results of the initial grid. The comparison shows that using grid adaptive method to properly increase the amount of local grids can rapidly increase the spatial resolution of the delta wing leeward zone at a relatively small cost and enhance the numerical simulation ability of small-scale vortex structures, The spatial resolution commonly used in the second-order format of mixed-mesh exhumed eddy simulation is relatively low, which is not good for the fine simulation of turbulent multi-scale structure.