Large-scale particle image velocimetry for flow analysis in hydraulic engineering applications

被引:382
|
作者
Fujita, I [1 ]
Muste, M
Kruger, A
机构
[1] Gifu Univ, Dept Civil Engn, Gifu 50111, Japan
[2] Univ Iowa, Iowa Inst Hydraul Res, Iowa City, IA 52242 USA
关键词
D O I
10.1080/00221689809498626
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Large-Scale Particle Image Velocimetry (LSPIV), as presented herein, is an extension of particle image velocimetry (PIV), which aims at providing velocity fields spanning large flow areas in laboratory or field conditions. Additional data, such as mappings of large-scale flow structures and discharges are readily obtainable using LSPIV. While the image- and data-processing algorithms are similar to conventional PIV, adjustments are required for illumination, seeding procedures, and pre-processing of the recorded images. This paper describes the implementation of video-based LSPIV in three hydraulic engineering applications covering surfaces from 4 m(2) to 45,000 m(2). These applications are: gas-transfer processes downstream a model spillway, ice conveyance through a model river confluence, and flood plain flow in a full-scale river. The special problems encountered in each of these experiments, as well as the selection and adjustments of the parameters to properly solve them, are examined. LSPIV has proven to be a reliable, flexible, and economically efficient flow diagnostic tool that can be employed successfully in the surveillance planning, design, hazard warning, operation, and management in water-related activities.
引用
收藏
页码:397 / 414
页数:18
相关论文
共 50 条
  • [1] Large-scale eddies measured with large scale particle image velocimetry
    Fox, J. F.
    Patrick, A.
    [J]. FLOW MEASUREMENT AND INSTRUMENTATION, 2008, 19 (05) : 283 - 291
  • [2] Recent applications of particle image velocimetry in large-scale industrial wind tunnels
    Willert, C
    Raffel, M
    Kompenhans, J
    [J]. ICIASF '97 RECORD - INTERNATIONAL CONGRESS ON INSTRUMENTATION IN AEROSPACE SIMULATION FACILITIES, 1997, : 258 - 266
  • [3] Large-Scale Particle Image Velocimetry Reveals Pulsing of Incoming Flow at a Stream Confluence
    Sabrina, Sadia
    Lewis, Quinn
    Rhoads, Bruce
    [J]. WATER RESOURCES RESEARCH, 2021, 57 (09)
  • [4] Multi-camera large-scale particle image velocimetry
    Tsubaki, Ryota
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2020, 31 (08)
  • [5] Large-scale particle image velocimetry for measurements in riverine environments
    Muste, M.
    Fujita, I.
    Hauet, A.
    [J]. WATER RESOURCES RESEARCH, 2008, 44 (04)
  • [6] LARGE-SCALE PARTICLE IMAGE VELOCIMETRY (LSPIV) IMPLEMENTATION ON SMARTPHONE
    Tsubaki, Ryota
    Fujita, Ichiro
    Yu, Kwonkyu
    Muste, Marian
    [J]. PROCEEDINGS OF THE 36TH IAHR WORLD CONGRESS: DELTAS OF THE FUTURE AND WHAT HAPPENS UPSTREAM, 2015, : 6642 - 6648
  • [7] Streamflow Observations From Cameras: Large-Scale Particle Image Velocimetry or Particle Tracking Velocimetry?
    Tauro, F.
    Piscopia, R.
    Grimaldi, S.
    [J]. WATER RESOURCES RESEARCH, 2017, 53 (12) : 10374 - 10394
  • [8] APPLICATION OF PARTICLE IMAGE VELOCIMETRY TO LARGE-SCALE TRANSONIC WIND TUNNELS
    TOWERS, CE
    BRYANSTONCROSS, PJ
    JUDGE, TR
    [J]. OPTICS AND LASER TECHNOLOGY, 1991, 23 (05): : 289 - 295
  • [9] Large-Scale Particle Image Velocimetry From an Unmanned Aerial Vehicle
    Tauro, Flavia
    Pagano, Christopher
    Phamduy, Paul
    Grimaldi, Salvatore
    Porfiri, Maurizio
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2015, 20 (06) : 3269 - 3275
  • [10] RECENT ADVANCES IN EULERIAN AND LAGRAGIAN LARGE-SCALE PARTICLE IMAGE VELOCIMETRY
    Patalano, A.
    Garcia, C. M.
    Brevis, W.
    Bleninger, T.
    Guillen, N.
    Moreno, L.
    Rodriguez, A.
    [J]. PROCEEDINGS OF THE 36TH IAHR WORLD CONGRESS: DELTAS OF THE FUTURE AND WHAT HAPPENS UPSTREAM, 2015, : 6612 - 6617