Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model

Applied Soft Computing Journal

Volumn 12, Issue 1, 2012, Pages 486-493

  Keshavarzi, Alireza ^a   Gazni, Reza ^a   Homayoon, Seyed Rahman ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Arch shaped bed sill; Bridge pier; Fuzzy model; Scouring depth

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS MODEL; ARCH-SHAPED BED SILL; DATA POINTS; DATA SETS; FLOW CONDITION; FUZZY MODELS; LABORATORY TEST; LOCAL SCOURING; NEURO-FUZZY MODEL; NON-DIMENSIONAL VARIABLE; RESEARCH STUDIES; SCOUR DEPTH; TEST CASE;

ARCHES; BRIDGE PIERS; FUZZY INFERENCE; FUZZY SYSTEMS; PIERS;

SCOUR;

EID: 81155148286     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.08.019     Document Type: Article

References (30)

1. H.W. Shen, Scour Near Piers. River Mechanics, Vol. II. Ft. Collins, Colo, Shrestha, B.P., Duckstein, 1971.
2. H.N.C. Breusers, G. Nicollet, and H.W. Shen Local scour around cylindrical piers Journal of Hydraulic Research 15 3 1977 211 252 (Pubitemid 8566888)
3. B.W. Melville, and A.J. Sutherland Design method for local scour at bridge piers Journal of the Hydraulics Division 114 10 1988 1210 1226 (Pubitemid 215829)
4. U.S. Department of Transportation (US DOT), Evaluating scour at bridges, Hydraulic Engineering Circular No. 18, FHWA-IP-90-017, Federal Hwy, Administration (FHWA), US Department of Transportation, Washington, DC, USA, 1993.
5. B.W. Melville Pier and abutment scour: integrated approach Journal of Hydraulics Engineering 123 2 1997 125 136
6. B.W. Melville, and Y.M. Chiew Time scale for local scour at bridge piers Journal of Hydraulics Engineering 125 1 1999 59 65 (Pubitemid 29170894)
7. R. Ettema, B.W. Melville, and B. Barkdoll Scale effect in pier-scour experiments Journal of Hydraulics Engineering 124 6 2001 639 642 (Pubitemid 28424708)
8. D.M. Sheppard, M. Odeh, and T. Glasser Large scale clearwater local pier scour experiments Journal of Hydraulics Engineering 130 10 2004 957 963 (Pubitemid 39500686)
9. E.M. Laursen, and A. Toch Scour Around Bridge Piers and Abutments. Bulletin No. 4 1956 Iowa Road Research Board Ames, IA
10. R. Trent, N. Gagarain, and J. Rhodes Estimating pier scour with artificial neural networks Proceedings of ASCE Conference on Hydraulic Engineering San Francisco, CA 1993 1043 1048 (Pubitemid 23688609)
11. J.P. Grubert Application of neural networks in stratified flow stability analysis Journal of Hydraulic Engineering, ASCE 121 7 1995 523 532 (Pubitemid 26463126)
12. S.L. Liriano, and R.A. Day Prediction of scour depth at culvert outlets using neural networks Journal of Hydroinformatics 3 2001 231 238
13. H.M. Nagy, K. Watanabe, and M. Hirano Prediction of sediment load concentration in river using artificial neural network model Journal of Hydraulic Engineering, ASCE 128 6 2002 588 595 (Pubitemid 34724746)
14. H.M.D. Azmathullah, M.C. Deo, and P.B. Deolalikar Neural networks for estimation of scour downstream of a ski-jump bucket Journal of Hydraulic Engineering, ASCE 131 10 2005 898 908 (Pubitemid 41419825)
15. H.M.D. Azmathullah, M.C. Deo, and P.B. Deolalikar Estimation of scour below spillways using neural networks Journal of Hydraulic Research, IAHR 44 1 2006 61 69
16. A. Keshavarzi, and L. Khaje Noori Environmental protection stability of river bed and banks using convex, concave, and linear bed sills Environmental Monitoring and Assessment 171 1-4 2010 621 631
17. D.S. Jeng, S.M. Bateni, E. Lockett, Neural network assessment for scour depth around bridge, Environmental Fluids/Wind Group, Research Report No. R855, Department of Civil Engineering, The University of Sydney, 2005.
18. S.M. Bateni, S.M. Borghei, and D.S. Jeng Neural network and Neuro-Fuzzy assessments for scour depth around bridge piers Engineering Applications of Artificial Intelligence 20 3 2007 401 414 (Pubitemid 46366651)
19. S. Choi, and S. Cheong Prediction of local scour around bridge piers using artificial neural networks Journal of the American Water Resources Association 42 2 2006 487 494 (Pubitemid 44858792)
20. T.L. Lee, D.S. Jeng, G.H. Zhang, and I.H. Hong Neural network modeling for estimation of scour depth around bridge piers Journal of Hydrodynamics 19 3 2007 378 386
21. S.M. Bateni, D.S. Jeng, and B.W. Melville Bayesian neural networks for prediction of equilibrium and time-dependent scour depth around bridge piers Advances in Engineering Software 38 2 2007 102 111 (Pubitemid 44584688)
22. T.H. Mohamed, M.J.M.M. Noor, A.H. Ghazali, and B.B.K. Huat Validation of some bridge pier scour formulae using field and laboratory data American Journal of Environmental Science 1 2 2005 119 125
23. S.C. Jain, and E.E. Fischer Scour around bridge piers at high flow velocities Journal of Hydraulic Engineering, ASCE 106 11 1980 1827 1842
24. S.R. Homayoon, A. Keshavarzi, and R. Gazni Application of artificial neural network, Kriging, and inverse distance weighting models for estimation of scour depth around bridge pier with bed sill Journal of Software Engineering & Applications 3 2010 944 964
25. P.C. Nayak, K.P. Sudheer, D.M. Rangan, and K.S. Ramasastri A Neuro-Fuzzy computing technique for modeling hydrological time series Journal of Hydrology 291 1-2 2004 52 66 (Pubitemid 38492436)
26. M. Sugeno, and T. Takagi Multi-dimensional fuzzy reasoning Fuzzy Sets and Systems 9 1-3 2005 313 325
27. F.J. Chang, and Y.T. Chang Adaptive Neuro-Fuzzy inference system for prediction of water level in reservoir Journal of Advances in Water Resources 29 1 2006 1 10
28. S.M. Bateni, and D.S. Jeng Estimation of pile group scour using adaptive Neuro-Fuzzy approach Ocean Engineering 34 8-9 2007 1344 1354 (Pubitemid 46554788)
29. H.M.D. Azamathulla, A. Ab Ghani, N.A. Zakaria, and A. Guven Genetic programming to predict bridge pier scour Journal of Hydraulic Engineering, ASCE 136 3 2010 165 169
30. M. Firat Scour depth prediction at bridge piers by Anfis approach Journal of ICE-Water Management 162 WM4 2009 279 288