2024-03-28T19:14:47Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00030441
2023-01-16T04:23:56Z
320:321:322
Multi-camera large-scale particle image velocimetry
Tsubaki, Ryota
101205
Large-Scale Particle Image Velocimetry (LSPIV)
image resolution
multi camera
viewing angle
low depression angle
Large-scale particle image velocimetry (LSPIV) has been widely used for quantifying the velocity distribution of environmental water surfaces, especially river flows. In LSPIV, the evaluated velocity distribution of a region far from the camera tends to have a large uncertainty due to strong image distortion and reduced image resolution, especially for directions parallel to the viewing angle. This study proposes a method that overcomes this problem by combining the results of LSPIV measurements of images obtained from different viewing angles. The velocity component for the direction orthogonal to the viewing angle (the 1D velocity component) for each viewing angle was extracted and then the 2D velocity field was reconstructed based on a least squares algorithm. To validate the proposed method, a rigid rotating disk experiment and a circulatory flow flume experiment were conducted. The method was used to reproduce a complex flow formed around an opposite river edge using images obtained from two different locations on a river bank. Circulatory flow was not visible from results obtained from single viewing angles but was successfully represented in the reconstructed velocity field.
ファイル公開:2021-05-25
journal article
IOP publishing
2020-05-25
application/pdf
Measurement Science and Technology
8
31
084004
0957-0233
https://nagoya.repo.nii.ac.jp/record/30441/files/MST_LSPIV_Tsubaki_r1_v3_3_final_post_print.pdf
eng
https://doi.org/10.1088/1361-6501/ab85d5
This is an author-created, un-copyedited version of an article published in {Measurement Science and Technology}. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at {https://doi.org/10.1088/1361-6501/ab85d5}. “This Accepted Manuscript is available for reuse under a CC BY-NC-ND 4.0 licence after the 12 month embargo period provided that all the terms of the licence are adhered to”