| 研究生: |
吳榮峰 Wu, Jung-Feng |
|---|---|
| 論文名稱: |
大尺度質點影像量測法之應用-分析水面流場 Application of Large-Scale Particle Image Velocimetry for Water-Surface Velocity Measurement. |
| 指導教授: |
賴泉基
Lai, Chan-Ji 呂珍謀 Leu, Jan-Mou |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 水利及海洋工程學系 Department of Hydraulic & Ocean Engineering |
| 論文出版年: | 2003 |
| 畢業學年度: | 91 |
| 語文別: | 中文 |
| 論文頁數: | 82 |
| 中文關鍵詞: | 質點影像量測法 、大尺度 |
| 外文關鍵詞: | PIV, LSPIV |
| 相關次數: | 點閱:85 下載:1 |
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本研究旨在以實驗方式探討大尺度質點影像量測法(large-scale particle image velocimetry,簡稱LSPIV)於分析大尺度水面流場之可行性及準確性,故選定兩種實驗尺度(試驗場尺度及現場尺度)加以研究。
本實驗利用數位攝影機於兩種實驗尺度擷取水面流場之影像,經數位化過程後,應用影像處理技術加以處理,再將處理後之影像讀入流場可視化及定量化程式(李,2003),經流場相關計算分析後,可得二維水面瞬時流速場,並取1 sec時間內各組連續二維水面瞬時流速場之平均,即可獲得經1 sec時間平均之二維水面流速分佈圖。
經本研究得知,LSPIV於戶外所擷取之影像,先以同態濾波法對影像做處理後,再使用中值濾波法處理,其增強後的影像經流場相關計算分析,可得效果較佳之二維水面瞬時流場,但其中難免會產生誤判的速度向量,經使用中值濾波法對流場做處理後,其所得之結果更為良好。另外兩種實驗尺度之影像空間尺度校正誤差均小於2.5 %;單點流速驗證比較之差異均在7.5 %以內;空間平均流速驗證比較之差異均在8 %以內,且其分析結果符合受二次流效應影響之現象,故證實LSPIV法於分析大尺度水面流場,為一具可行性且有效力、可靠度高之遙測技術。
The purpose of this study is using experiment way to inquire into large-scale particle image velocimetry (LSPIV), and analyze the feasibility and accuracy for large-scale water surface velocity fields. So we choose this two experiment scales to discuss.
The experiment is taking advantage of digital camera to select the images of water surface between this two experiment scales. After digitalize processing, applying to image enhanced techniques to deal with, then loading the processed images into the program (Lee, 2003) which is making the cross-correlation analysis. So we can get two-dimension instantaneous velocity fields, and select 1 sec time-average for continuous two-dimension instantaneous velocity fields.
Through this research we can know, the images we pick from outdoor, which using Homomorphic filter and Medium filter to process. After making the cross-correlation analysis, we obtain more effective instantaneous water surface velocity fields. But it’s hard to avoid miss judging for velocity vectors. Undergo applying Medium filter to deal with velocity fields, we can get more better effect. In addition, this two experiment scales of spacial scale correction errors are less than 2.5 %, the diversities of single-point velocity comparison are all within 7.5 %, the diversities of spacial average velocity comparison are all within 8 %. And the analysis results conform to suffer the appearance of secondary flow effect influence. For this reason, it proves using LSPIV to analyze large-scale water surface velocity fields is a feasibility, effective and reliability remote technique.
1. Adrian R.J., “Image shifting technique to
resolve directional ambiguity in
double-pulsed velocimetry ” , Appl. Opt. 25 ,
p3855-3858 , 1986.
2. Adrian R.J., “Particle-imaging technique for experimental fluid
mechanics” , Ann. Rev. Fluid Mech. 23 , p261-304 , 1991.
3. Cenedese A., A. Pocecco and G. Querzoli, “Effects of image compression on
PIV and PTV analysis” , Optics & Laser Technology 31 , p141-149 , 1999.
4. Duursma G.R., D.H. Glass, S.J.L. Rix and M.I. Ramirez, “PIV investigations
of flow structures in the fluidised bed freeboard region” , Powder
Technology 120 , p2-11 , 2001.
5. Fujita I., M. Muste and A. Kruger, “Large-scale particle image velocimetry
for flow analysis in hydraulic engineering applications” , Journal of
Hydraulic Research 36 , p397-414 , 1998.
6. Fujita I. and R. Tsubaki, “Field measurement of surface velocity
distribution by gradient method using spatiotemporal images” , 水工學論文集
46 , p821-826 , 2002.
7. Gallanzi M., “High accuracy measurement of unsteady flows using digital
particle image velocimetry” , Optics & Laser Technology 30 , p349-359 ,
1998.
8. Gonzalez R.C. and R.E. Woods, Digital Image Processing , Addison – Wesley
(1992).
9. Guezennec Y.G. and N. Kiritsis, “Statistical investigation of errors in
particle image velocimetry” , Exp. Fluids 10 , p138-146 , 1990.
10.Kadambi J.R., W.T. Martin, S. Amirthaganesh and M.P. Wernet, “Particle
sizing using Particle Imaging Velocimetry for two-phase flows” , Powder
Technology 100 , p251-259 , 1998.
11.Moreno D., F.M. Santoyo, M. Gallanzi and S.F. Orozco, “An optimum
velocimetry data display method” , Optics & Laser Technology 32 , p121-
128 , 2000.
12.Otsuta T. and W. Piotr, “Particle image velocimetry (PIV) analysis of flame
structure ” , Journal of Loss Prevention in the Process Industries 14 ,
p503-507 , 2001.
13.Takehara K., I. Fujita, Y. Takano, G.T. Etoh, S. Aya, M. Tamai, H. Miyamoto
and N. Sakai, “An attempt of field measurements of surface flow on a river
by using a helicopter aided image velocimetry” , 水工學論文集 46 , p821-
826 , 2002.
14.Weitbrecht V., G. Kuhn and G.H. Jirka, “Large scale PIV-measurements at the
surface of shallow water flows” , Flow Measurement and Instrumentation 13 ,
p237-245 , 2002.
15.Weng W.G., W.C. Fan, G.X. Liao and J. Qin, “Wavelet-based image denoising
in (digital) particle image velocimetry” , Signal Processing 81 , p1503-
1512 , 2001.
16.Westerweel J., “Efficient detection of spurious vectors in particle image
velocimetry data” , Exp. Fluids 16 , p236-247 , 1994.
17.Westerweel J., D. Dabiri and M. Gharib, “The effect of a discrete window
offset on the accuracy of cross-correlation analysis of digital PIV
recordings” , Exp. Fluids 23 , p20-28 , 1997.
18.Willert C.E. and M. Gharib, “Digital particle image velocimetry” , Exp.
Fluids 10 , p181-193 , 1991.
19.『高效率流量量測示範站之建置運作(2/2)』,經濟部水利署委辦,成大水利海洋研究發
展文教基金會執行,中華民國九十一年七月。
20.『曾文水庫東口隧道進水流量量測系統檢核率定』,經濟部水利署南區水資源局委辦,
成大水利海洋研究發展文教基金會執行,中華民國九十二年二月。