New Model for Determining Local Scour Depth Around Piers

Since a lot of factors play role in the creation of scouring phenomenon, the exact determination of scouring is considered to be difficult in practice. Consequently, the determination of scouring depth is still conducted mostly based on the empirical relationships though it has been investigated for several decades using numerous methods. Currently, the major estimation of bridge scour calculation has been conducted utilizing the existing software on river engineering based on the available empirical equations. In this study, a new model is proposed using modified honey bee mating optimization algorithm to estimate the scour depth of the piers using various reliable field data. The performance of the proposed model was found more effective comparing with five other conventional and practical present models, which have been widely used in predicting the scour depth of bridge piers.

[1]  Omid Bozorg Haddad,et al.  Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization , 2006 .

[2]  S. M. Bateni,et al.  Neural network and neuro-fuzzy assessments for scour depth around bridge piers , 2007, Eng. Appl. Artif. Intell..

[3]  William Miller,et al.  Live-Bed Local Pier Scour Experiments , 2006 .

[4]  Stephen R. Holnbeck,et al.  Evaluation of pier-scour equations for coarse-bed streams , 2004 .

[5]  C. Baker,et al.  Theoretical Approach To Prediction Of Local Scour Around Bridge Piers , 1980 .

[6]  A Molinas,et al.  BRIDGE SCOUR IN NONUNIFORM SEDIMENT MIXTURES AND IN COHESIVE MATERIALS: SYNTHESIS REPORT , 2004 .

[7]  Stephen R. Holnbeck,et al.  Investigation of Pier Scour in Coarse-Bed Streams in Montana, 2001 through 2007 , 2011 .

[8]  Claude Cavendish Inglis,et al.  The behaviour and control of rivers and canals (with the aid of models) , 1957 .

[9]  B. Melville,et al.  Scale Effect in Pier-Scour Experiments , 1998 .

[10]  H. Md. Azamathulla,et al.  Genetic Programming to Predict Bridge Pier Scour , 2010 .

[11]  V. R. Schneider,et al.  Local Scour Around Bridge Piers , 1969 .

[12]  B. Sumer,et al.  Numerical and experimental investigation of flow and scour around a circular pile , 2005, Journal of Fluid Mechanics.

[13]  David C. Froehlich.  Local Scour at Bridge Abutments , 1989 .

[14]  Vijay Panchang,et al.  Three-Dimensional Simulation of Scour-Inducing Flow at Bridge Piers , 1998 .

[15]  M. Niazkar,et al.  Assessment of Modified Honey Bee Mating Optimization for Parameter Estimation of Nonlinear Muskingum Models , 2015 .

[16]  B. Melville.  PIER AND ABUTMENT SCOUR: INTEGRATED APPROACH , 1997 .

[17]  Mubeen Beg.  Predictive competence of Existing Bridge Pier Scour Depth Predictors , 2013 .

[18]  Robert Ettema,et al.  Clear‐Water Scour at Cylindrical Piers , 1983 .

[19]  A. J. Sutherland,et al.  DESIGN METHOD FOR LOCAL SCOUR AT BRIDGE PIERS , 1988 .

[20]  A. R. Kambekar,et al.  Estimation of pile group scour using neural networks , 2003 .

[21]  Jean-Louis Briaud,et al.  SRICOS: Prediction of Scour Rate in Cohesive Soils at Bridge Piers , 1999 .

[22]  David C. Froelich.  Analysis of Onsite Measurements of Scour at Piers , 1988 .

[23]  Dong-Sheng Jeng,et al.  Neural Network Modeling for Estimation of Scour Depth Around Bridge Piers , 2007 .

[24]  Majid Niazkar,et al.  Optimum Design of Lined Channel Sections , 2015, Water Resources Management.

[25]  K. V. Wilson,et al.  SCOUR AT SELECTED BRIDGE SITES IN MISSISSIPPI , 1995 .

[26]  Barry J. Adams,et al.  Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation , 2007, J. Frankl. Inst..

[27]  Min-Yuan Cheng,et al.  Predicting Equilibrium Scour Depth at Bridge Piers Using Evolutionary Radial Basis Function Neural Network , 2015, J. Comput. Civ. Eng..

[28]  Tarek,et al.  Prediction Of Maximum Scour Around Bridge Piers Due To Aquatic Weed Racks , 2013 .

[29]  B. Melville,et al.  TIME SCALE FOR LOCAL SCOUR AT BRIDGE PIERS , 2000 .

[30]  I. R. Willoughby,et al.  Local scour around large obstructions , 1990 .

[31]  Mushtaq Ahmad.  Experiments On Design And Behavior Of Spur Dikes , 1953 .

[32]  Aminuddin Ab. Ghani,et al.  Bridge pier scour prediction by gene expression programming , 2012 .

[33]  P A Johnson,et al.  Comparison of Pier-Scour Equations Using Field Data , 1995 .

[34]  K. G. Ranga Raju,et al.  Live-bed scour around cylindrical bridge piers , 1992 .

[35]  Taher Niknam,et al.  An efficient hybrid evolutionary algorithm based on PSO and HBMO algorithms for multi-objective Distribution Feeder Reconfiguration , 2009 .

[36]  Abdul Halim Ghazali,et al.  Validation of some bridge pier scour formulae using field and laboratory data , 2005 .

[37]  Bruce W. Melville,et al.  Evaluation of Existing Equations for Local Scour at Bridge Piers , 2014 .

[38]  Arved J. Raudkivi,et al.  Functional Trends of Scour at Bridge Piers , 1986 .

[39]  David S. Mueller,et al.  Field Observations and Evaluations of Streambed Scour at Bridges , 2005 .

[40]  Sarfaraz A. Ansari,et al.  Ultimate Depth of Scour Around Bridge Piers , 1994 .

[41]  Abidin Kaya,et al.  Artificial neural network study of observed pattern of scour depth around bridge piers , 2010 .

[42]  A. Melih Yanmaz,et al.  STUDY OF TIME-DEPENDENT LOCAL SCOUR AROUND BRIDGE PIERS , 1991 .

[43]  H. W. Shen,et al.  Local Scour Around Cylindrical Piers , 1977 .

[44]  N. Olsen,et al.  Three‐Dimensional Calculation of Scour Around Cylinders , 1993 .