The Study of the Performance of Data- Driven Models to Predict the Scour Depth Caused by the Aerated Vertical Jet

Document Type : Research Paper

Authors

1 Associate Professor, Civil Engineering Department, Jundi-Shapur University of Technology, Dezful, Iran

2 PhD Candidate, Department of Civil Engineering, University of Texas at Arlington, P.O. Box 19019, Arlington, TX 76019, USA.

3 Instructor in Civil Engineering Department Jundi-Shapur University of Technology Dezful, Iran

Abstract

High flow discharges coming from the hydraulic structures usually carry a high-velocity jet of flow, which could have different short- and long-term impacts on the river mechanics and the habitat conditions. Scouring is one of the major effects of the incoming flow jet, which, once aerated, has a dynamic behavior and structure. Plunge pools are hydraulic structures to prevent the severe damages of the scouring phenomena. In the present study, due to the high complexity of constructing a physical model, the effect of air entrainment on scoured hole’s depth is assessed using the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) methods. Each soft computing model’s performance on the scouring is compared to a Nonlinear Regression Method’s result using different statistical measures (RMSE, ME, MAE). The prediction accuracy of ANN, ANFIS, and nonlinear regression using RMSE was calculated as 0.0137, 0.011, and 0.0262, respectively. This study presents a novel achievement in measuring and predicting the scoured hole’s depth as one of the most critical phenomena in hydro-environmental science.

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 1- Azamathulla, H.M., Chang, C.K., Ghani, A.A., Ariffin, J., Zakaria, N.A. and Hasan, Z.A., 2009a. An ANFIS-based approach for predicting the bed load for moderately sized rivers. Journal of Hydro-Environment Research, 3(1), pp.35-44.
 
2- Azamathulla, H.M., Ghani, A.A. and Zakaria, N.A., 2009b, December. ANFIS-based approach to predicting scour location of spillway. In Proceedings of the Institution of Civil Engineers-Water Management (Vol. 162, No. 6, pp. 399-407). Thomas Telford Ltd.
 
3- Baharvand, S., Jozaghi, A., Fatahi-Alkouhi, R., Karimzadeh, S., Nasiri, R. and Lashkar-Ara, B., 2020. Comparative Study on the Machine Learning and Regression-Based Approaches to Predict the Hydraulic Jump Sequent Depth Ratio. Iranian Journal of Science and Technology, Transactions of Civil Engineering, pp.1-14.
 
4- Bohrer, J.G., Abt, S.R. and Wittler, R.J., 1998. Predicting plunge pool velocity decay of free falling, rectangular jet. Journal of hydraulic engineering, 124(10), pp.1043-1048.
 
5- Bormann, N.E. and Julien, P.Y., 1991. Scour downstream of grade-control structures. Journal of hydraulic engineering, 117(5), pp.579-594.
 
6- Canepa, S. and Hager, W.H., 2003. Effect of jet air content on plunge pool scour. Journal of Hydraulic Engineering, 129(5), pp.358-365.
 
Ervine, D. A. (1976). ‘‘The entrainment of air in water.’’ Int. Water Power Dam Constr., 28(12), 27–30.
 
7- Hassanzadeh, Y., Ghazvinian, M., Abdi, A., Baharvand, S. and Jozaghi, A., 2020. Prediction of short and long-term droughts using artificial neural networks and hydro-meteorological variables. arXiv preprint arXiv:2006.02581.
 
8- Jang, J.S., 1993. ANFIS: adaptive-network-based fuzzy inference system. IEEE transactions on systems, man, and cybernetics, 23(3), pp.665-685.
 
9- Jang, J.S.R., Sun, C.T. and Mizutani, E., 1997. Neuro-fuzzy and soft computing-a computational approach to learning and machine intelligence [Book Review]. IEEE Transactions on automatic control, 42(10), pp.1482-1484.
 
10- Mason, P.J., 1989. Effects of air entrainment on plunge pool scour. Journal of Hydraulic Engineering, 115(3), pp.385-399.
 
11- Mason, P.J. and Arumugam, K., 1985. Free jet scour below dams and flip buckets. Journal of Hydraulic Engineering, 111(2), pp.220-235.
 
12- Riahi-Madvar, H. and Seifi, A., 2018. Uncertainty analysis in bed load transport prediction of gravel bed rivers by ANN and ANFIS. Arabian Journal of Geosciences, 11(21), pp.1-20.
 
13- Robinson, K.M., Cook, K.R. and Hanson, G.J., 2000. Velocity field measurements at an overfall. Transactions of the ASAE, 43(3), p.665.
 
14- Rouse, H., 1940. Criteria for similarity in the transportation of sediment. University of Iowa Studies in Engineering, 20, pp.33-49.
 
15- Roushangar, K., Ghasempour, R. and Valizadeh, R., 2018. Effect of channel boundary conditions in predicting hydraulic jump characteristics using an ANFIS-based approach. Journal of Applied Fluid Mechanics, 11(3), pp.555-565.
 
16- Xu, W., Deng, J., Qu, J., Liu, S. and Wang, W., 2004. Experimental investigation on influence of aeration on plane jet scour. Journal of Hydraulic Engineering, 130(2), pp.160-164.
 
17- Yildiz, A., Yarar, A., Kumcu, S.Y. and Marti, A.I., 2020. Numerical and ANFIS modeling of flow over an ogee-crested spillway. Applied Water Science, 10(4), pp.1-10.
 
 
Volume 43, Issue 4
March 2021
Pages 79-89
  • Receive Date: 09 February 2021
  • Revise Date: 24 February 2021
  • Accept Date: 27 February 2021
  • Publish Date: 21 December 2020