空气动力学学报2019，Vol.37Issue(3)：373-381,9.DOI:10.7638/kqdlxxb-2017.0212
一种用于间断装配的流场结构辨识算法
A surface extraction method of flow feature for shockGfitting scheme
摘要
Abstract
A new surface extraction method named source-rays method is proposed to locate and shape initial shock wave surface for shock-fitting algorithms.In this method,the flow field data acquired by the shock-capturing schemes are used as the observed data,and the grid nodes with the features such as shock waves and contact discontinuities are obtained as a discrete point set according to the parameters of density,pressure and others.The discrete point set is finally assembled into a continuous smooth surface by being segmented into several subsets for fragment fitting.Based on the two-dimensional method,this identification algorithm is extended to three-dimensional application by introducing a unit sphere model.The discrete points are fitted to a series of triangular patches with determined connection relationship by a unit sphere,and a smooth continuous surface can be assembled.The results show that the feature surface (shock wave and contact discontinuity ) obtained by the source-rays method coincides with the discontinuous distribution in the flow field calculated by the shock-capturing schemes.By using the extracted feature surface as the initial shock wave surface,the convergence solution can be quickly obtained in shock-fitting algorithm.In addition,this method can also be used in the adaptive mesh refinement procedure.According to different flow parameters,the spatial surfaces of the corresponding flow field structures can be obtained.Based on these surfaces,the mesh grid can be locally refined.This flow field feature surface extraction method has the advantage of grid scale set arbitrarily for mesh adaptation procedure.关键词
激波探测/激波装配法/非结构网格自适应/曲面拟合/结构辨识/数值模拟Key words
shock detection/shock-fitting/unstructured mesh adaptation/surface fitting/feature identification/numerical simulation分类
航空航天引用本文复制引用
LIU Jun1,CHEN Zedong,CHEN Jie,ZOU Dongyang..一种用于间断装配的流场结构辨识算法[J].空气动力学学报,2019,37(3):373-381,9.基金项目
国家自然科学基金(11872144,11532016) （11872144,11532016）
