A New Model for Economic Optimization of Water Diversion System during Dam Construction using PSO Algorithm
Authors: Saeed Sedighizadeh, Abbas Mansoori, Mohammad Reza Pirestani, Davoud Sedighizadeh
Abstract:
The usual method of river flow diversion involves construction of tunnels and cofferdams. Given the fact that the cost of diversion works could be as high as 10-20% of the total dam construction cost, due attention should be paid to optimum design of the diversion works. The cost of diversion works depends, on factors, such as: the tunnel dimensions and the intended tunneling support measures during and after excavation; quality and characterizes of the rock through which the tunnel should be excavated; the dimensions of the upstream (and downstream) cofferdams; and the magnitude of river flood the system is designed to divert. In this paper by use of the cost of unit prices for tunnel excavation, tunnel lining, tunnel support (rock bolt + shotcrete) and cofferdam fill the cost function was determined. The function is then minimized by the aid of PSO Algorithm (particle swarm optimization). It is found that the optimum diameter and the total diversion cost are directly related to the river flood discharge (Q). It has also shown that in addition to optimum diameter design discharge (Q), river length, tunnel length, is mainly a function of the ratios (not the absolute values) of the unit prices and does not depend on the overall price levels in the respective country. The results of optimization use in some of the case study lead us to significant changes in the cost.
Keywords: Diversion Tunnel, Optimization, PSO Algorithm
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055809
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[1] Iranian Committee On Large Dams, IRCOLD 2005, < http://www.wrm.or.ir/ircold>
[2] United States Department of Interior, Bureau of Reclamation, (USBR), Design of Small Dams, 3rd Edition, US Government Printing Office, Washington DC, USA, 1987.
[3] J. B., Cooke, "Progress in Rock fill Dams", J. of Geotechnical Division, ASCE, 110(10), Paper 19206, 1984, pp. 1383-1414
[4] Cai, Junmei , Feng, Jingming, Zhang, Ziji , "Flood Tunnel with Orifices to Control Flow Rate", Proc. of 4th Int. Conf. On Hydro-Science & Engineering (ICHE), 2000, Seoul.
[5] J., Abrishami, V., Rajaee, Naser, "Concrete Dams (Design and Construction), 2005.
[6] H.W, King, "Handbook of Hydraulics, 3ed, McGrawHill Company, New York, 1939.
[7] United States Geological Survey, USGS 2007, < http://www.usgs.gov>
[8] S, Rao, Singiresu ., "Engineering optimization (Theory and Practice)", Third Edition, 1996., School of Mechanical Engineering, Purdue University , West Lafayette, Indiana, A Wiley- Interscience Publication, John Wiley & Sons, Inc.
[9] J., Kennedy and R. C. Eberhart, "Particle swarm optimization", Proc. IEEE Int. Conf. on Neural Networks, 1995, pp. 1942-1948.