首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种新改进的DPIV方法
引用本文:田晓东,李玉梁,陈嘉范,余常昭.一种新改进的DPIV方法[J].水科学进展,2000,11(1):59-63.
作者姓名:田晓东  李玉梁  陈嘉范  余常昭
作者单位:清华大学水利水电工程系, 北京100084
摘    要:数字粒子图像测速技术DPIV(Digital Particle Image Velocimetry)是一种快速提取流场速度的方法,但测速精度较低。已有的改进方法虽然使精度得到了提高,却丧失了DPIV快速处理的优点。本文综合已有方法的优点,提出了一种兼有快速和精度较高的处理方法。该方法以Willert提出的DPIV方法为基础,吸收了Huang提出的改进方法中的迭代思想,既保留了DPIV快速处理的优点,又在一定程度上提高了测速的精度,非常适合于多工况和非恒定流的测量。

关 键 词:数字粒子图像测速技术    互相关    迭代
收稿时间:1998-11-30

A New Method to Improve the Technique of DPIV
TIAN Xiao-dong,LI Yu-liang,CHEN Jia-fan,YU Chang-zhao.A New Method to Improve the Technique of DPIV[J].Advances in Water Science,2000,11(1):59-63.
Authors:TIAN Xiao-dong  LI Yu-liang  CHEN Jia-fan  YU Chang-zhao
Institution:Dept. of Hydraulic Engineering, Tsinghua University, Beijing 10084, China
Abstract:The DPIV (Digital Particle Image Velocimetry) is a kind of method to obtain velocity fields quickly. But the accuracy of this method is not high. Although the improved methods improve the accuracy greatly, but they lost the advantage of fast processing of DPIV. In this paper, a new method is presented which has the both advantages of fast processing and high accuracy. This new method is based on the DPIV technique which was presented by Willert, and absorts the idea of iteration in Huang's improved method. So the method maintains the advantage of fast processing of DPIV and improves the accuracy to certain extent. It fits for measurements of velocities in constant and tidal flow.
Keywords:digital particle image velocimetry  gross correlation  iteration  
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《水科学进展》浏览原始摘要信息
点击此处可从《水科学进展》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号