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Multi-camera large-scale particle image velocimetry
http://hdl.handle.net/2237/00032626
http://hdl.handle.net/2237/0003262640f3735d-9ffb-4494-b187-e0a0c1a65626
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
MST_LSPIV_Tsubaki_r1_v3_3_final_post_print (1.9 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-09-14 | |||||
| タイトル | ||||||
| タイトル | Multi-camera large-scale particle image velocimetry | |||||
| 言語 | en | |||||
| 著者 |
Tsubaki, Ryota
× Tsubaki, Ryota |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 権利 | ||||||
| 言語 | en | |||||
| 権利情報 | 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” | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Large-Scale Particle Image Velocimetry (LSPIV) | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | image resolution | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | multi camera | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | viewing angle | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | low depression angle | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | 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. | |||||
| 言語 | en | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | ファイル公開：2021-05-25 | |||||
| 言語 | ja | |||||
| 出版者 | ||||||
| 出版者 | IOP publishing | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
| タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1088/1361-6501/ab85d5 | |||||
| ISSN（print） | ||||||
| 収録物識別子タイプ | PISSN | |||||
| 収録物識別子 | 0957-0233 | |||||
| 書誌情報 |
en : Measurement Science and Technology 巻 31, 号 8, p. 084004, 発行日 2020-05-25 |
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| 著者版フラグ | ||||||
| 値 | author | |||||
