Energy dissipation evaluation for stepped spillway using a fuzzy inference system

In this study, to evaluate the effects of geometry parameters on the dissipation rate in flows over the stepped spillways, a numerical model is provided and validated by using a physical model. A type of Fuzzy Inference System (FIS) is used to study the control of the rates of dissipation. It is used to measure the estimated energy dissipation under different scenarios, and the results are compared with prepared numerical database. An error criterion is used to examine the prediction accuracy of the FIS measurements. The realization of these kinds of considerations may, in turn, lead to a remarkable reduction in the dimensions of stilling basins. The results indicate that proposed FIS can be used as a valuable tool for operational control of dissipater structures with consideration of different geometric parameters. The method is proposed somehow to consider the uncertainty problems with consideration of the benefits, and some shortcomings noted in the literature.

[1]  D. Vanneste.  Experimental and numerical study of wave-induced porous flow in rubble-mound breakwaters , 2012 .

[2]  Akbar Safarzadeh,et al.  Comparative Assessment of the Hybrid Genetic Algorithm-Artificial Neural Network and Genetic Programming Methods for the Prediction of Longitudinal Velocity Field around a Single Straight Groyne , 2017, Appl. Soft Comput..

[3]  A. Parsaie,et al.  The hydraulic investigation of circular crested stepped spillway , 2019 .

[4]  S. Pope.  Turbulent Flows: FUNDAMENTALS , 2000 .

[5]  L Peyras,et al.  Flow and Energy Dissipation Over Stepped Gabion Weirs , 1992 .

[6]  Kathleen H. Frizell,et al.  Designing Spillways to Prevent Cavitation Damage , 1991 .

[7]  Alireza Mojtahedi,et al.  Establishment of a hybrid Fuzzy–Krill Herd approach for novelty detection applied to damage classification of offshore jacket-type structures , 2018, Journal of Marine Science and Technology.

[8]  Hubert Chanson,et al.  Hydraulic Design of Stepped Spillways and Downstream Energy Dissipators , 2007 .

[9]  K. Roushangar,et al.  Estimating discharge coefficient of stepped spillways under nappe and skimming flow regime using data driven approaches , 2018 .

[10]  Hubert Chanson,et al.  Comparison of energy dissipation between nappe and skimming flow regimes on stepped chutes , 1994 .

[11]  F. Bombardelli,et al.  Distribution of mean flow and turbulence statistics in plunge pools , 2017 .

[12]  Somchai Wongwises,et al.  Flow Patterns and Energy Dissipation over Various Stepped Chutes , 2006 .

[14]  Qun Chen,et al.  Volume of Fluid Model for Turbulence Numerical Simulation of Stepped Spillway Overflow , 2002 .

[15]  Jorge Matos,et al.  Discussion of “Jet Flow on Stepped Spillways” by Jorge Matos and António Quintela , 1995 .

[16]  Azza N. Al-Talib,et al.  Hydraulic jump and energy dissipation downstream stepped weir , 2019, Flow Measurement and Instrumentation.

[17]  Mohammad Ali Ghorbani,et al.  Modelling Energy Dissipation Over Stepped-gabion Weirs by Artificial Intelligence , 2014, Water Resources Management.

[18]  N. Rajaratnam,et al.  Closure to “Jet Flow on Stepped Spillways” by M. R. Chamani and N. Rajaratnam , 1995 .

[19]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[20]  José M. Carrillo,et al.  Analysis of the Scale Ratio in Nappe Flow Case by Means of CFD Numerical Simulation , 2013 .

[21]  Rita Awwad,et al.  Computational simulation of flow over stepped spillways , 2005 .

[22]  Nan Zhang,et al.  Select N agents with better fitness values from X all to replace the current population X Evaluate and sort the fitness of X all End of iteration ? Return best solution End Mass weighting Cauchy mutation , 2016 .

[23]  Farzin Salmasi,et al.  Neuro-Fuzzy Approach for Estimating Energy Dissipation in Skimming Flow over Stepped Spillways , 2014 .

[24]  C. Chafi,et al.  Study of Flow and Energy Dissipation in Stepped Spillways , 2010 .

[25]  A. Mojtahedi,et al.  Experimental investigation of TARMAX model for modeling of hydrodynamic forces on cylinder-like structures , 2011 .

[26]  Lei Jiang,et al.  Energy Dissipation Prediction for Stepped Spillway Based on Genetic Algorithm–Support Vector Regression , 2018 .

[27]  M. Aminfar,et al.  Physical model studies and system identification of hydrodynamics around a vertical square-section cylinder in irregular sea waves , 2012 .

[28]  Franklin W. Schwartz,et al.  On the application of image analysis to determine concentration distributions in laboratory experiments , 1993 .

[29]  Hubert Chanson,et al.  Energy Dissipation down a Stepped Spillway with Nonuniform Step Heights , 2011 .

[30]  Jalal Shiri,et al.  Modeling energy dissipation over stepped spillways using machine learning approaches , 2014 .