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Design of surge tank for water supply systems using the impulse response method with the GA algorithm

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Abstract

The impact of the surge tank has been incorporated into the platform of the impulse response method. The impedance functions for pipeline systems equipped with a surge tank were also derived. Hydraulic transients could be efficiently analyzed by the developed method. The simulation of normalized pressure variation using the method of characteristics and the impulse response method shows good agreement only in the condition of an identical computational interval between pipeline elements and that of the surge tank connector. The important numerical issue, the Courant number condition, of the traditional grid-based approaches can introduce substantial difficulty for optimization of surge tank parameters. The surge tank design could be performed by incorporation of the impulse response method with the Genetic Algorithm (GA). The objective functions for the surge tank design can be made using the pressure-head response at any point along the pipeline system while considering both the security and cost of the system. Substantial flexibility in the design of surge tank parameters, such as the location in the pipeline, the length of the connector, and the diameters for the connector and the surge tank can be found during the optimization procedure.

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Correspondence to Sang-Hyun Kim.

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This paper was recommended for publication in revised form by Associate Editor Haecheon Choi

Sanhyun Kim received his Ph.D. degree in Civil and Environmental Engineering from Purdue University, West Lafayette, IN USA in 1996. He is currently a professor in the Department of Environmental Engineering in Pusan National University, Busan South Korea. Dr. Kim’s research interests are theoretical and experimental study of pipeline hydraulics and water quality dynamics, and surface and subsurface hillslope hydrological processes in unsaturated zone.

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Kim, SH. Design of surge tank for water supply systems using the impulse response method with the GA algorithm. J Mech Sci Technol 24, 629–636 (2010). https://doi.org/10.1007/s12206-010-0108-y

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  • DOI: https://doi.org/10.1007/s12206-010-0108-y

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