Predicting the Discharge Coefficient of Arc- labyrinth Weir Using ANN

tohid omidpour alavian¹ mehdimajediasl² ehsanmohammadi³ vahidshamsi⁴

1) Civil Engineering, University of Maragheh, Maragheh, Iran
2) Department of Civil Engineering, Faculty of Engineering, University of Maragheh, Maragheh, Iran.
3) Civil Engineering, University of Maragheh, Maragheh, Iran
4) Civil Engineering, University of Maragheh, Maragheh, Iran

IOI Code : XYCF-KABFF
Publication : 2nd.International Congress on Management, Economy, Humanities and Business Development(icmba.ir)
Abstract :
    One of the common structures in many dams and water transfer channels are weirs, which are used for the purpose of emptying, measuring and controlling the water level, and also for the passage of excess water from upstream to downstream. A structure called a weir is used in dams. Smart algorithms have found a very valuable position among researchers due to their great ability to discover complex and secret relationships between effective independent parameters and dependent parameters, as well as saving money and time. In this research, the performance of the ANN algorithm in predicting the flow rate coefficient of the non-linear arc weir has been investigated with the help of 243 laboratory data series. The geometric and hydraulic parameters used in this research include water load (HT), weir height (P), total water load ratio (H_T/p), arc cycle angle (Ɵ), cycle wall angle (α) and coefficient It is discharge (Cd). The results of artificial intelligence showed that the combination of parameters (Cd, H_T/p, α, Ɵ) in the ANN algorithms in the training and test phase are respectively equal to (R2=0.9980), (RMSE=0.0057), (DC=0.9980) and (R2=0.9986), (RMSE=0.0060), (DC=0.9985), which leads to the most optimal output compared to other combinations which shows the very favorable accuracy of ANN algorithm in predicting the discharge coefficient of non-linear arc weir. The results of the sensitivity analysis showed that the effective parameter in determining the non-linear arc weir discharge coefficient in ANN is the total water load ratio parameter (H_T/p).

Keywords : neural networks non linear weirs discharge coefficient sensitivity analysis