Neural network modeling of scour cone geometry around outlet in the pressure flushing

Global Nest Journal

Volumn 14, Issue 4, 2012, Pages 540-549

  Emamgholizadeh, S ^a  

^a SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Experimental study; MLP BP ann model; Pressure flushing; Scour cone; Sensitivity analysis

Indexed keywords

EID: 84877258233     PISSN: 17907632     EISSN: None     Source Type: Journal    
DOI: 10.30955/gnj.000765     Document Type: Article

References (24)

1. Agarwal A., Singh R.D., Mishra S.K. and Bhunya P.K., (2005), ANN-based sediment yield river basin models for Vamsadhara (India), Water SA, 31(1), 95-100.
2. Azmathullah H.M., Deo M.C. and Deolalikar P.B., (2005), Neural network for estimation of scour downstream of a ski-jump bucket, Journal of Hydraulic Engineering, 131(10), 898-908.
3. Azmathullah H.M., Deo M.C. and Deolalikar P.B., (2006), Estimation of scour below spillways using neural networks, Journal of Hydraulic Research, 44(1), 61-69.
4. Bateni S.A., Borghei S.M. and Jeng D.S., (2007), Neural network and neuro-fuzzy assessments for scour depth around bridge piers, Journal of Engineering Applications of Artificial Intelligence, 20, 401-414.
5. Brandt S.A., (2000), A review of reservoir desiltation, International Journal of Sediment Research, 15, 321-342.
6. Caamaño D., Goodwin P. and Manic M., (2006), Derivation of a bedload sediment transport formula using artificial neural networks, 7th International Conference on Hydroinformatics, HIC 2006, Nice, FRANCE, 1-8.
7. Di Silvio G., (1990), Modeling desiltation of reservoirs by bottom-outlet flushing. NATO Workshop on Movable Bed Physical Models, De Voorst (The Netherlands), August 18-21, 1987. Also in NATO Asi-Series C n. 313, Kluwer Academic Publisher, Dordrecht, 159-171.
8. Emamgholizadeh S., (2008), Pressure flushing of sediment through storage reservoir: Laboratorytesting, Journal. Inst. Eng. (India), CE Div. 89(5), 23-27.
9. Fathi-Moghadam M., Emamgholizadeh S., Bina M. and Ghomeshi M., (2010), Physical modeling of pressure flushing for desilting of non-cohesive sediment, Journal of Hydraulic Research, 48(4), 509-514.
10. Francke T., Mamede G., López-Tarazón J.A. and Batalla R.J., (2008), Assessment of sediment yield and reservoir siltation using non-parametric regression and numerical modeling, Geophysical Research Abstracts, 10, EGU2008-A-06723.
11. Jain S.K. and Chalisgaonkar D., (2000), Setting up stage-discharge relations using ANN, Journal of Hydrologic Engineering, 5(4), 428-433.
12. Jain S.K., (2001), Development of integrated sediment rating curves using ANNs, Journal of Hydraulic Engineering, 127(1), 30-37.
13. Li Y.T. and Gu R.R., (2003), Modeling flow and sediment transport in a river system using an artificial neural network, Environmental Management, 31(1), 122-134.
14. Muzzammil M., (2008), Application of neural networks to scour depth prediction at the bridge abutments, Journal of Engineering Applications of Computational Fluid Mechanics, 2(1), 30-40.
15. Muttiah R.S., Srinivasan R. and Allen P.M., (1997), Prediction of two-year peak stream discharges using neural networks, Journal of the American Water Resources Association, 33(3), 625-630.
16. Nagy H.M., Watanabe K. and Hirano M., (2002), Prediction of sediment load concentration in rivers using artificial neural network model, Journal of Hydraulic Engineering, 128(6), 588-595.
17. Panagoulia D., (2006), Artificial neural networks and high and low flows in various climate regimes, Hydrological Sciences Journal, 51(4), 563-587.
18. Qnet's Manual. (2000), Neural Network Modeling for Windows 95/98/NT. Vesta Services, Inc.Winnetka, IL, United States of America
19. Qian N., (1982), Reservoir sedimentation and slope stability, technical and environmental effects. Fourteenth International Congress on Large Dams, Transactions, Rio de Janeiro, Brazil, 3-7 May, 3, 639-690.
20. Rumelhart D.E., Hinton G.E. and Williams R.J., (1986), Learning Internal Representation by Error Propagation, Parallel Distributed Processing, MIT Press, Cambridge, MA, 1, 318-362.
21. Scheuerlein H., Tritthart M. and Nunez Gonzalez F., (2004), Numerical and physical modeling concerning the removal of sediment deposits from reservoirs, Conference proceeding of Hydraulic of Dams and River Structures, Tehran, Iran 245-254.
22. Shen H.W. and Lai J.S., (1996), Sustain reservoir useful life by flushing sediment, International Journal of sediment Research, IRTCES, 11(3), 10-17.
23. Yitian L. and Gu R.R., (2003), Modeling flow and sediment transport in a river system using an artificial neural network, Journal of Environmental Management, 31(1), 122-134.
24. Zhang G., Patuwo B.E. and Hu M.Y., (1998), Forecasting with artificial neural networks: The state of Art, International Journal of Forecasting, 14(1), 35-62.