一种超大尺度运动瞬态结构及其涡旋分布特征提取方法
By constructing an xyz coordinate system to filter connected domains, extracting the minimum points of flow-direction pulsating velocity, reconstructing the vortex topology, and calibrating the centroid position, the problem of extracting vortex distribution characteristics in turbulence is solved, realizing the quantitative presentation of vortex distribution and in-depth research on turbulent coherent structures.
CN122412933APending Publication Date: 2026-07-17CHINA AGRI UNIV
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA AGRI UNIV
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
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Figure CN122412933A_ABST
Abstract
本发明提供的一种超大尺度运动瞬态结构及其涡旋分布特征提取方法，包括：基于DNS数据集在对数区的x‑z平面筛选出多个连通域，提取各连通域中间位置的流向脉动速度极小值点分别作为一个入选点，以各入选点为中心分别进行拓展及算数平均并识别出VLSM条件平均空间结构三维流场；将该三维流场作为VLSM理想流场模型并分别与各时刻的待分析瞬时流场进行互相关计算，获得VLSM空间瞬态结构三维流场；对其采用VATBR算法进行涡旋重构，通过绝对旋转强度的加权质心标定每个涡旋的空间位置，将加权质心投影至x‑z平面，统计得到涡旋加权质心的空间概率密度。本发明能实现VLSMs的精准定位并提取其内部涡旋分布特征。
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