Author:
Karbasi Masoud,Jamei Mehdi,Ahmadianfar Iman,Asadi Amin
Abstract
AbstractIn the present study, two kernel-based data-intelligence paradigms, namely, Gaussian Process Regression (GPR) and Kernel Extreme Learning Machine (KELM) along with Generalized Regression Neural Network (GRNN) and Response Surface Methodology (RSM), as the validated schemes, employed to precisely estimate the elliptical side orifice discharge coefficient in rectangular channels. A total of 588 laboratory data in various geometric and hydraulic conditions were used to develop the models. The discharge coefficient was considered as a function of five dimensionless hydraulically and geometrical variables. The results showed that the machine learning models used in this study had shown good performance compared to the regression-based relationships. Comparison between machine learning models showed that GPR (RMSE = 0.0081, R = 0.958, MAPE = 1.3242) and KELM (RMSE = 0.0082, R = 0.9564, MAPE = 1.3499) models provide higher accuracy. Base on the RSM model, a new practical equation was developed to predict the discharge coefficient. Also, the sensitivity analysis of the input parameters showed that the main channel width to orifice height ratio (B/b) has the most significant effect on determining the discharge coefficient. The leveraged approach was applied to identify outlier data and applicability domain.
Publisher
Springer Science and Business Media LLC
Reference78 articles.
1. Shariq, A., Hussain, A. & Ansari, M. A. Lateral flow through the sharp crested side rectangular weirs in open channels. Flow Meas. Instrum. 59, 8–17 (2018).
2. Hussain, A. & Haroon, A. Numerical analysis for free flow through side rectangular orifice in an open channel. ISH J. Hydraul. Eng. 00, 1–8 (2019).
3. Vatankhah, A. R. & Rafeifar, F. Analytical and experimental study of flow through elliptical side orifices. Flow Meas. Instrum. 72, 101712 (2020).
4. Borghei, S. M., Jalili, M. R. & Ghodsian, M. Discharge coefficient for sharp-crested side weir in subcritical flow. J. Hydraul. Eng. 125, 1051–1056 (1999).
5. Shariq, A., Hussain, A. & Ansari, M. A. Discharge coefficient for side compound weirs in open channel. One Day National Conference on “Recent Innovations in Science, Technology and Engineering" At: National Institute of Technology, Srinagar, Jammu and Kashmir, India, 177–186 (2017).
Cited by
14 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献