Document Type : Research Paper

Authors

1 Department of Water Science and Engineering, Faculty of Agriculture, Bu-Ali Sina Univ., Hamadan, Iran

2 Department of Water Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.

Abstract

There are found numerous methods to measure flow in open channels. The simulation of water flow in channel requires mathematic calibration of the structures in channel so that the water level and the discharge become compatible with demand. Sluice gate is one of the most important structure which can perform in free and submerged flow. In this research, there were experiments on a sluice gate mounted in lab flume of 12.5 m, 0.6 and 0.65 length, width and height, respectively, in the slope of 0.0002. Some equations of measuring the discharge from the sluice gate extracted from Energy equations and Momentum were calibrated using two metaheuristic algorithms of simulated annealing and ant colony. After the sensitivity analysis of algorithm was done, the optimal coefficients of discharge obtained for the Conventional equation of discharge in free and submerged flow was obtained 0.686, and 0.881. Also, in calibration of Energy-Momentum method for submerged flow, the optimal contraction coefficient was 0.533. finally, the methods were assessed and compared for which the statistical indexes show the favorability of results.

Keywords

Abbaspour K.C., Schulin R., van-Genuchten M.T., Estimating unsaturated soil hydraulic parameters using ant colony optimization, Advances in Water Resources 24 (2001) 827-841.
Bijankhan M., Kouchakzadeh S., Discussion of ‘benchmark of discharge calibration methods for submerged sluice gates’ by Carlos Sepu´ lveda, Manuel Go´ mez, and Jose´ Rodellar, Journal of
Irrigation and Drainage Engineering 137 (2010) 56-57.
Bijankhan M., Darvishi E., Kouchakzadeh S., Discussion of ‘Energy and Momentum velocity coefficients for calibrating submerged sluice gates in irrigation canals’ by Oscar Castro-Orgaz, David Lozano, and Luciano Mateos, Journal of Irrigation and Drainage Engineering, 138 (2012) 852-854.
Bijankhan M., Ferro V., Kouchakzadeh S., New stage–discharge relationships for free and submerged sluice gates, Flow Measurement and Instrumentation 28 (2012) 50-56.
Castro-Orgaz O., Lozano D., Mateos L., Energy and Momentum velocity coefficients for calibrating submerged sluice gates in irrigation canals, Journal of Irrigation and Drainage Engineering 136 (2010) 610-616.
Cerny V., A thermodynamical approach to traveling salesman problem: Aefficient simulation algorithm, Journal of Optimization Theory and Application 45 (1985) 41-51.
Clemmens A.J., New calibration method for submerged radial gates, Paper presented at the USCID/EWRI Conference on Energy, Climate, Environment and Water, San Luis Obispo, USA, (2002) 399-408.
Clemmens A.J., Strelkoff T.S., Replogle J.A., Calibration of submerged radial gates, Journal of Hydraulic Engineering129 (2003) 680-687.
Colorni A., Dorgio M., Maniezzo V., Distributed optimization by ant-colonies. 1st Europian Conference on Artificial life (ECAL'91), Paris, France, Elsevier Publishing (1991) 134–142.
Dorigo M., Optimization, learning and natural algorithm. PhD thesis, Politecnico di Milano, Italy (1992).
Ferro V., Closure to ‘simultaneous flow over and under a gate’ by V. Ferro., Journal of Irrigation and Drainage Engineering 127 (2001) 326-328.
Garbrecht G., Discussion of discharge computation at river control structures, Journal of Hydraulic Division 103 (1977) 1481-1484.
Henry H., Discussion: diffusion of submerged jet, Transaction Proceeding ASCE 115 (1950) 687-697.
Jalali M.R., Afshar A., Marino, M.A. Multi-Colony ant algorithm for continuous multi-reservoir operation optimization problem, Water Resources Management 21 (2007) 1429-1447.
Kirk patrik S., Gellat, C.D.Jr., Vecchi M.P., Optimization by Simulated Anneling, Science 220 (1983) 671-680.
Kouvelis P., Chiang W., A simulated annealing procedure for single row lay out problems inflexible manufacturing systems, International Journal of production Research 30 (1992) 717-732.
Lin C., Yen J., Tsai C., Influence of sluice gate contraction coefficient on distinguishing condition, Journal of Irrigation and Drainage Engineering 128 (2002) 249-252.
Lozano D., Mateos L., Merkley G.P., Clemmens A.J., Field Calibration of Submerged Sluice Gates in Irrigation Canals. Joutnal of Irrigation and Drainage Engineering 6 (2009) 763-772.
Mahmudian Shooshtari, M., flow Principles in open channels.Volume 2, Shahid Chamran University Press, Iran.(In Persian), (2008).
Metropolis N., Rosenbluth A., Teller A., Teller E., Equation of state calculations by computing machines, Journal of Chemistry Physics 21 (1953) 1087-1092.
Rajaratnam N., Subramanya K., Flow equation for the sluice gate, Journal of Irrigation and Drainage Engineering 93 (1967) 57-77.
Socha K., Dorigo M., Ant Colony optimization for continuous domains, European Journal of Operational Research 185 (2008) 1155-1173.
Spheerli J., Hager W.H., Discussion of irrotationa flow and real fluid effects under planer gates, by J. S. montes, Journal of Hydraulic Engineering 125 (1999) 208-210.
Swamee P., Sluice-gate discharge equations. Journal of Irrigation and Drainage Engineering, 118 (1992) 56-60.
Zegordi S.H., Itoh K., Enkawa T., Aknowledgeable simulated annealing scheme for the early/tardy flow shop scheduling problem, International Journal of Production Research 33 (1995) 1449-1466.