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基于流线分析的涡旋识别

发表时间:2008-05-15  浏览量:2575  下载量:1076
全部作者: 邹文楠,赵勇,董荭
作者单位: 南昌大学工程力学研究所
摘 要: 涡旋识别是流场分析中的核心课题之一。虽然目前还没有明确的涡旋定义,但人们还是发展了多种基于特征量(feature-based)的涡旋识别技术。本文以流线为研究对象,分析流线特征并对流线之间的缠绕关系进行涡旋的识别,确立速率、曲率、挠率作为流线特征识别的参数系统,并推导了相邻流线之间缠绕关系的特征判据来定义涡旋(核)区域,建立了新的涡旋识别三参数系统,最后以4个典型涡旋流场的涡旋分析验证了识别方法的有效性。
关 键 词: 流体力学;弯扭张量;流线;涡旋区;涡核区;参数系统
Title: Vortex detection based on streamline analysis
Author: ZOU Wennan, ZHAO Yong, DONG Hong
Organization: Institute of Engineering Mechanics, Nanchang University
Abstract: The vortex detection is one of the kernel subjects in the analysis of flow field. Researchers have developed many feature-based vortex detection technologies even though there is no clear definition on the notion vortex. In this paper, based on the understanding of streamline structure, the vortex pattern was identified through the swirling relation. The parameter system with speed, curvature and torsion was used to classify the streamlines. The vortex area and the vortex core area at a point were now defined by the swirling relation of streamlines around the streamline at the point, and a new parameter system was deduced to recognize the vortex region. Finally, four typical examples were used to verify the effectiveness of new criterions.
Key words: hydrodynamics;swirl tensor;streamline;vortex area;vortex core area;parameter system
发表期数: 2008年9月第9期
引用格式: 邹文楠,赵勇,董荭. 基于流线分析的涡旋识别[J]. 中国科技论文在线精品论文,2008,1(9):1021-1029.
 
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