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Transient flow control in Water Transmission Systems (WTS) is one of the requirements of designing these systems. Hence, among control equipment, air chambers offer the best solution to control transient flow effects, i.e. both prevents water column separation and absorbs pressure increase. It is essential to carry out an accurate and optimized design of air chambers, not only due to high costs of their manufacturing but also their important protective role. Accordingly, hydraulic design parameters comprise tank volume, diameter of nozzle and coefficients of inflow and outflow of nozzle. In this paper, it is intended to optimize these parameters in order to minimize manufacturing costs. On the other hand, maximum and minimum pressures in main pipeline are considered as constraints which shall fall in allowed range. Therefore, a model has been developed which is a combination of a hydraulic simulation model of WTS and an optimization model based on genetic algorithm. This model is first applied to WTS of Dehgolan-Ghorveh plain as a case study. Results of this research demonstrate that based on suggested model, negative wave creation and pressure increase in pipeline is prevented as well as decrease in manufacturing costs of air chamber.
Wydawca
Rocznik
Tom
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1--7
Opis fizyczny
Bibliogr. 15 poz., fig., tab.
Twórcy
autor
- Department of Civil, Islamic Azad University of Arak, Arak, Iran
autor
- Department of Civil, Islamic Azad University of Arak, Arak, Iran
autor
- Department of Civil, Islamic Azad University of Hamedan, Hamedan, Iran
Bibliografia
- 1. Lingridy S, Funk J.E. and Wang H. Genetic algorithm in optimizing transient suppression device. Proceeding of the 20th International Conference on Water Resources Engineering and Water Resources Planning and Management. Visakapatnam, India, 2000, 205–211.
- 2. Swamee P., Kumar V., Khanna P. Opimization of dead end water distribution systems. J Environmental Engineering Division, ASCE, 99(2), 1973, 123–134.
- 3. Osborne J., James, L. Marginal economics applied to pipeline design. J Transportation Division, ASCE, 99(3), 1973, 637–653.
- 4. Koh E., Maidment D. Microcomputer promrams for designing water systems. J American Water Works Association; 76(7), 1984, 62–65.
- 5. Gupata I., Hussan M., Cook J. Linear programming analysis of water supply system. Transactions of the American Institute of Industrial Engineers, 1(1), 1969, 200–214.
- 6. Deb A.K. Least cost design of water mains in series. J Environmental Engineering Division, ASCE, 99(EE3), 973, 405–409.
- 7. Dancs L. Sizing force mains for economy. Water and Sewage Works, No. R-127, 1977.
- 8. Cowan J.,Checking trunk main designs for cost-effectiveness. Water and Water Engineering, 75(908), 1971, 385–386.
- 9. Canales Ruiz R. Optimal design of gravity flow water conduits. J Hydraulic Division, ASCE, 106(HY9), 1980, 1489–1502.
- 10. Afshar M.H., Rohani M. Optimal Operation of Pipeline System Using Genetic Algorithm. IEEE Congress on Evolutionary Computation, CEC 2009.
- 11. Afshar M.H., Marino M.A. A convergent genetic algorithm for pipe network optimization. scientia Iranica, 12(4), 2005, 392–401.
- 12. Afshar M.H., Jabbari E. Simultaneous layout and pipe size optimization of pipe networks using genetic algorithm. Arabian Journal for Science and Engineering, 33(2B), 2007, 391–409.
- 13. Afshar M.H., Ghasemi M.R. An efficient selection operator for genetic search of pipe networks opimal design. International Journal of Civil Engineering 3(2), 2005,78–88.
- 14. Afshar M.H. Application of a compact genetic algorithm to pipe network optimization problems. scientia Iranica, 16(3), 2009, 264–271.
- 15. Afshar M.H. Evaluation of selection algorithms for simultaneous layout and pipe size optimization of water distribution networks. Scientia Iranica, 14(1), 2007, 23–32.
Typ dokumentu
Bibliografia
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