Volume 23, Issue 2 (2023)
MCEJ 2023, 23(2): 223-234 |
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Noori A, Mohajeri S, Nabipour M, Khani M, Mehraein M. Investigation and Laboratory Sensitivity Measurement of the Capabilities of the Large Scale Particle Image Velocimetry (LSPIV) in Determining the Flow Rate and Flow Field. MCEJ 2023; 23 (2) :223-234
URL: http://mcej.modares.ac.ir/article-16-64914-en.html
URL: http://mcej.modares.ac.ir/article-16-64914-en.html
1- Graduated from Master's degree, Department of Civil Engineering, Technical and Engineering Faculty, Kharazmi University, Tehran, Iran
2- Assistant Professor, Department of Civil Engineering, Technical and Engineering Faculty, Kharazmi University, Tehran, Iran , Seyed Hossein Mohajeri
3- PhD graduate,Department of Civil Engineering and Environment, Technical and Engineering Faculty, Tarbiat Modares University, Tehran, Iran
4- Assistant Professor, Department of Civil Engineering, Technical and Engineering Faculty, Kharazmi University, Tehran, Iran
2- Assistant Professor, Department of Civil Engineering, Technical and Engineering Faculty, Kharazmi University, Tehran, Iran , Seyed Hossein Mohajeri
3- PhD graduate,Department of Civil Engineering and Environment, Technical and Engineering Faculty, Tarbiat Modares University, Tehran, Iran
4- Assistant Professor, Department of Civil Engineering, Technical and Engineering Faculty, Kharazmi University, Tehran, Iran
Abstract: (815 Views)
In order to estimate the amount of flood damage, knowledge of flow characteristics such as speed and flow rate is very important. Nowadays, the use of large-scale particle image velocimetry method is used to estimate flow parameters and flow field in laboratory and field scale. But image processing in relation to important environmental parameters has not been well investigated. To be more precise, the effect of environmental parameters such as; The position of the camera, the speed coefficient, and the sensitivity of the probe window have not been measured. The basis of this research is based on image processing methods, through which flow rate and flow field are calculated. In this study, the capabilities of this method have been accurately measured on a laboratory scale in relation to effective environmental parameters. In this regard, the investigation window of this study shows that the window of 20 pixels provides better results in different depths. In relation to the position of the camera, the studies showed that the placement of the camera obliquely provides the desired results. Regarding the speed coefficient, the studies show that the coefficient between 0.85 and 0.9 provides the best results. The results of the research in laboratory conditions based on the depths of 12.5, 15.5 and 18.5 cm indicate that by using the large-scale particle surface velocimeter system, according to the selection of the optimal conditions, the selection of the appropriate computing network ; camera position; Selection of the search window optimization; hydraulic specifications as well as the appropriate selection of the speed coefficient; It estimates the values of flow rate and flow speed with optimal accuracy. The relative error values of discharge and flow velocity in this research based on the LSPIV method for depths of 12.5, 15.5 and 18.5 cm are equal to 6.5,3.1 and 2.1 percent.
Keywords: Flow measurement, particle image velocity measurement, open channel flow, CCTV, sensitivity measurement
Article Type: Original Research |
Subject:
Water
Received: 2022/10/19 | Accepted: 2022/12/18 | Published: 2023/05/31
Received: 2022/10/19 | Accepted: 2022/12/18 | Published: 2023/05/31
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