PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Prediction of scour depth around bridge piers in tandem arrangement using M5 and ANN regression models

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Due to an increase in a number of bridges being constructed, scour depth around bridge piers is gradually being recognized as one of the possible reasons for bridge failure. According to [1] about 53% of bridge failures in the US were caused due to floods and corresponding scour in the rivers. Lots of work has been carried out around the single pier but in the case of group piers, the work is very less. Hence, it becomes necessary to calculate the actual scour depth around the bridge piers considering the close location of bridges as well. Design/methodology/approach: Recognizing the need for research in this direction, an experimental study was planned and conducted in the Hydraulics Laboratory of Civil Engineering Department of National Institute of Technology Kurukshetra, India. Experiments were conducted in a standard recirculating tilting bed water flume 15 m long, 0.4 m wide, and 0.60 m deep. The orientation of more than one pier, namely Tandem pattern was employed for the work. Two pier models, 62 mm and 42 mm diameter were used for the experimental study. The mobile bed used in the experiments had an average mean size, d50 = 0.23 mm, 0.30 mm and 0.50 mm. Findings: The outcomes of the ANN function and M5 model analysis have been used to compare with experimental results. From the earlier studies, it was concluded that, when the clear spacing between the pier models was greater than 0D the scour depth around the piers increase with a rapid rate. However, in the case of modelling techniques, M5 models show higher predictive accuracy than ANN models. Research limitations/implications: It is a significant area of research. However, the present study has been a time and facility- constrained study. Therefore, there is a large scope to conduct further studies on the subject, Different pattern i.e. Side by Side; Staggered and Group of piers can be adopted for further investigations. Originality/value: Sufficient work has been done by number of researchers around the single bridge pier. But due to rapid urbanization a number of bridges constructed in close proximity to each other which affects the scour depth of each other. Modelling techniques used in hydraulic engineering are not always effective in practice. The present study discusses the effect of spacing on scouring around piers in a tandem arrangement using experimental as well as modelling techniques. To predict the scour depth of the Tandem arrangement 89 laboratory data sets have been used.
Rocznik
Strony
49--58
Opis fizyczny
Bibliogr. 21 poz.
Twórcy
autor
  • Civil Engineering Department National Institute of Technology Kurukshetra, 136119, India
autor
  • Civil Engineering Department National Institute of Technology Kurukshetra, 136119, India
Bibliografia
  • [1] K. Wardhana, F.C. Hadipriono, Analysis of Recent Bridge Failures in the United States, Journal of Performance of Constructed Facilities 17/3 (2003). DOI: https://doi.org/10.1061/(ASCE)0887- 3828(2003)17:3(144)
  • [2] E.M. Laursen, A. Toch, Scour around bridge piers and abutments, Iowa Highway Research Board Bulletin No. 4 (1956) 1-60.
  • [3] B.W. Melville, Local scour at bridge sites, Ph.D. Thesis, School of Engineering, University of Auckland, Auckland, 1975.
  • [4] H.N.C. Breusers, A.J. Raudkivi, Scouring: Hydraulic Structure Design Manual Series, vol. 2, CRC Press, Balkema Rotterdam-Brookefield, 1991.
  • [5] U.C. Kothyari, R.C.J. Garde, K.G. Ranga Raju, Temporal variation of scour around circular bridge piers, Journal of Hydraulic Engineering 118/8 (1992) 1091-1106. DOI: https://doi.org/10.1061/(ASCE)0733- 9429(1992)118:8(1091)
  • [6] B.W. Melville, Pier and abutment scour: integrated approach, Journal of Hydraulic Engineering 123/2 (1997) 125-136. DOI: https://doi.org/10.1061/(ASCE)0733- 9429(1997)123:2(125)
  • [7] B. Setia, Scour around bridge piers: mechanism and protection, PhD. Thesis, Department of Civil Engineering, Indian Institute of Technology, Kanpur, India, 1997.
  • [8] A.H. Cardoso, R. Bettess, Effects of Time and Channel Geometry on Scour at Bridge Abutments, Journal of Hydraulic Engineering 125/4 (1999) 388-399. DOI: https://doi.org/10.1061/(ASCE)0733- 9429(1999)125:4(388)
  • [9] B.W. Melville, S.E. Coleman, Bridge scour, Water Resources Publications, Colorado, USA, 2000.
  • [10] S. Dey, S.K. Bose, G.L.N. Sastry, Clear water scour at circular piers: a model, Journal of Hydraulic Engineering 121/12 (1995) 869-876. DOI: https://doi.org/10.1061/(ASCE)0733- 9429(1995)121:12(869)
  • [11] R. Malik, B. Setia, Experimental study on behaviour of closely placed bridge pier models, Proceedings of the National Conference in Department of Civil Engineering, National Institute of Technology Kurukshetra, Kurukshetra, India, 2014.
  • [12] A. Keshavarzi, C.K. Shrestha, B. Melville, H. Khabbaz, M. Ranjbar-Zahedani, J. Ball, Estimation of maximum scour depths at upstream of front and rear piers for two in-line circular columns, Environmental Fluid Mechanics 18 (2018) 537-550. DOI: https://doi.org/10.1007/s10652-017-9572-6
  • [13] C.R. Hannah, Scour at pile groups, Research Report No. 78-3, Civil Engineering Department, University of Canterbury, New Zeland, 1978.
  • [14] N. Vittal, U.C. Kothyari, M. Haghighat, Clear water scour around bridge pier group, Journal of Hydraulic Engineering 120/11 (1994) 1309-1318. DOI: https://doi.org/10.1061/(ASCE)0733- 9429(1994)120:11(1309)
  • [15] M. Beg, Mutual interference around bridge piers on local scour, Proceedings of the 2nd International Conference on Scour and Erosion „ICSE2”, Singapore, 2004, 111-118.
  • [16] B. Setia, Equilibrium scour depth time, Proceedings of 3rd IASME/WSEAS International Conference on Water Resources, Hydraulics & Hydrology “WHH'08”, University of Cambridge, 2008, 114-117.
  • [17] J.R. Quinlan, Learning with continuous classes, Proceedings of Australian Joint Conference on Artificial Intelligence, Hobart, 1992, 343-348.
  • [18] A. Rahimikhoob, M. Asadi, M. Mashal, A comparison between conventional and M5 model tree methods for converting pan evaporation to reference evapo- transpiration for semi-arid region, Water Resources Management 27/14 (2013) 4815-4826. DOI: https://doi.org/10.1007/s11269-013-0440-y
  • [19] K.K. Singh, M. Pal, V.P. Singh, Estimation of mean annual flood in Indian catchments using back propagation neural network and M5 model tree, Water Resources Management 24/10 (2010) 2007-2019. DOI: https://doi.org/10.1007/s11269-009-9535-x
  • [20] M. Pal, S. Deswal, M5 model tree based modelling of reference evapotranspiration, Hydrological Processes 23/10 (2009) 1437-1443. DOI: https://doi.org/10.1002/hyp.7266
  • [21] A. Rahimikhoob, Estimating sunshine duration from other climatic data by artificial neural network for ET0 estimation in an arid environment, Theoretical and Applied Climatology 118/1-2 (2014) 1-8. DOI: https://doi.org/10.1007/s00704-013-1047-1
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-afe62e2b-bb3d-485f-80ab-a37efa3216a3
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.