Free-surface flow simulations for discharge-based operation of hydraulic structure gates

We combine non-hydrostatic flow simulations of the free surface with a discharge model based on elementary gate flow equations for decision support in the operation of hydraulic structure gates. A water level-based gate control used in most of today’s general practice does not take into account the fact that gate operation scenarios producing similar total discharged volumes and similar water levels may have different local flow characteristics. Accurate and timely prediction of local flow conditions around hydraulic gates is important for several aspects of structure management: ecology, scour, flow-induced gate vibrations and waterway navigation. The modelling approach is described and tested for a multi-gate sluice structure regulating discharge from a river to the sea. The number of opened gates is varied and the discharge is stabilized with automated control by varying gate openings. The free-surface model was validated for discharge showing a correlation coefficient of 0.994 compared to experimental data. Additionally, we show the analysis of computational fluid dynamics (CFD) results for evaluating bed stability and gate vibrations.

[1]  H.N.C. Breusers,et al.  Conformity and time scale in two-dimensional local scour , 1966 .

[2]  M. C. Munodawafa,et al.  Kariba Dam Plunge Pool Scour: quasi-3D Numerical Predictions , 2013 .

[3]  J. David Hardwick Flow-Induced Vibration of Vertical-Lift Gate , 1974 .

[4]  Olivier Blanpain,et al.  Development of a discharge equation for side weirs using artificial neural networks , 2005 .

[5]  Nallamuthu Rajaratnam,et al.  Role of Energy Loss on Discharge Characteristics of Sluice Gates , 2011 .

[6]  Guus S. Stelling,et al.  Computational modelling flow and transport , 1999 .

[7]  Dae-Geun Kim,et al.  Numerical analysis of free flow past a sluice gate , 2007 .

[8]  R. J. Meijer,et al.  Artificial intelligence and finite element modelling for monitoring flood defence structures , 2011, 2011 IEEE Workshop on Environmental Energy and Structural Monitoring Systems.

[9]  A. Shields,et al.  Anwendung der Aehnlichkeitsmechanik und der Turbulenzforschung auf die Geschiebebewegung , 1936 .

[10]  Mizan Rashid,et al.  A 3D CFD model analysis of the hydraulics of an outfall structure at a power plant , 2005 .

[11]  D. Weaver Flow-induced vibration , 2014 .

[12]  Mevlut Sami Akoz,et al.  Experimental and numerical modeling of a sluice gate flow , 2009 .

[13]  Henk Jan Verhagen,et al.  Stone Stability in Non-uniform Flow , 2011 .

[14]  Anna V. Kaluzhnaya,et al.  Erratum to "Simulation-based collaborative decision support for surge floods prevention in St. Petersburg" [J. Comput. Sciience 3 (2012) 450-455] , 2013, J. Comput. Sci..

[15]  W. H. Hager,et al.  Underflow of standard sluice gate , 1999 .

[16]  Gijs Hoffmans,et al.  Local Scour Downstream of Hydraulic Structures , 1995 .

[17]  A. L. Pyayt,et al.  Flood early warning system: sensors and internet , 2012 .

[18]  Anna V. Kaluzhnaya,et al.  Simulation-based collaborative decision support for surge floods prevention in St. Petersburg , 2012, J. Comput. Sci..

[19]  Forbes T. Brown,et al.  Engineering system dynamics : a unified graph-centered approach , 2006 .

[20]  Maarten S. Krol,et al.  Identification and classification of uncertainties in the application of environmental models , 2010, Environ. Model. Softw..

[21]  B. Hofland Rock and roll: Turbulence-induced damage to granular bed protections , 2005 .

[22]  James S. Holdhusen,et al.  Discussion of Diffusion of Submerged Jets by M. L. Albertson, Y. B. Dai, R. A. Jensen and Hunter Rouse , 1950 .

[23]  Bartosz Balis,et al.  Flood early warning system: design, implementation and computational modules , 2011, ICCS.

[24]  Peter M. A. Sloot,et al.  Controlling flow-induced vibrations of flood barrier gates with data-driven and finite-element modelling , 2012 .

[25]  V. T. Chow Open-channel hydraulics , 1959 .

[26]  Valeria V. Krzhizhanovskaya,et al.  Machine learning methods for environmental monitoring and flood protection , 2011 .

[27]  Jord Jurriaan Warmink,et al.  Identification and quantification of uncertainties in river models using expert elicitation , 2008 .

[28]  Richard C. Thompson,et al.  Ecological impact of coastal defence structures on sediment and mobile fauna: Evaluating and forecasting consequences of unavoidable modifications of native habitats , 2005 .

[29]  Hiroshi Nago INFLUENCE OF GATE-SHAPES ON DISCHARGE COEFFICIENTS OF UNDERFLOW GATES , 1978 .

[30]  Magnus Larson,et al.  A numerical model of beach morphological evolution due to waves and currents in the vicinity of coas , 2011 .

[31]  A. Huerta,et al.  Arbitrary Lagrangian–Eulerian Methods , 2004 .

[32]  P. B. Deolalikar,et al.  Estimation of scour below spillways using neural networks , 2006 .

[33]  Willi H. Hager,et al.  Critical Flow: A Historical Perspective , 2010 .

[34]  Thomas Staubli,et al.  FLOW-INDUCED MULTIPLE-MODE VIBRATIONS OF GATES WITH SUBMERGED DISCHARGE , 2000 .

[35]  Valeria V. Krzhizhanovskaya,et al.  Virtual Dike: multiscale simulation of dike stability , 2011, ICCS.

[36]  H. Azamathulla,et al.  Gene expression programming for prediction of scour depth downstream of sills , 2012 .

[37]  R. Blevins,et al.  Flow-Induced Vibration , 1977 .

[38]  Alexander Boukhanovsky,et al.  Urgent Computing for Operational Storm Surge Forecasting in Saint-Petersburg , 2012, ICCS.

[39]  Avi Ostfeld,et al.  Data-driven modelling: some past experiences and new approaches , 2008 .

[40]  Joel H. Ferziger,et al.  Computational methods for fluid dynamics , 1996 .