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Developing an optimal valve closing rule curve for real-time pressure control in pipes

Abstract

Sudden valve closure in pipeline systems can cause high pressures that may lead to serious damages. Using an optimal valve closing rule can play an important role in managing extreme pressures in sudden valve closure. In this paper, an optimal closing rule curve is developed using a multi-objective optimization model and Bayesian networks (BNs) for controlling water pressure in valve closure instead of traditional step functions or single linear functions. The method of characteristics is used to simulate transient flow caused by valve closure. Non-dominated sorting genetic algorithms-II is also used to develop a Pareto front among three objectives related to maximum and minimum water pressures, and the amount of water passes through the valve during the valve-closing process. Simulation and optimization processes are usually time-consuming, thus results of the optimization model are used for training the BN. The trained BN is capable of determining optimal real-time closing rules without running costly simulation and optimization models. To demonstrate its efficiency, the proposed methodology is applied to a reservoir-pipe-valve system and the optimal closing rule curve is calculated for the valve. The results of the linear and BN-based valve closure rules show that the latter can significantly reduce the range of variations in water hammer pressures.

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Correspondence to Reza Kerachian.

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Recommended by Associate Editor Kyongsu Yi

Mohammad Reza Bazargan-Lari received his B.Sc. in Civil Engineering from Shiraz University, Shiraz, Iran in 2002. He obtained his M.Sc. and Ph.D from the Islamic Azad University in 2004 and 2009, respectively. Dr. Bazargan-Lari is currently an Assistant Professor at the Department of Civil Engineering, East Tehran Branch, Islamic Azad University, Tehran, Iran. His areas of research interest include the design and operation of hydraulic structures and water resource management.

Reza Kerachian is an Associate Professor at the School of Civil Engineering, University of Tehran, Tehran, Iran. He received his Ph.D in Civil Engineering from Tehran Polytechnic in 2004. His research and teaching interests include civil and environmental system analyses, water quality management and application of game theory in water and environmental system management. He has published more than 60 articles in peer-reviewed journals.

Hossein Afshar received his B.Sc. in Mechanical Engineering from K. N. Toosi University of Technology, Tehran, Iran in 2002. He obtained his M.Sc. in Aerospace Engineering from Shiraz University, Shiraz, Iran in 2005 and his Ph.D in Mechanical Engineering from K. N. Toosi University of Technology in 2011. Dr. Afshar is currently an Assistant Professor at the Department of Mechanical Engineering, East Tehran Branch, Islamic Azad University, Tehran, Iran. His areas of research interest include computational fluid dynamics, hydraulics, and micro- and nanofluidics.

Seyyed Nasser Bashi-Azghadi is a Ph.D. candidate at the School of Civil Engineering, Iran University of Science and Technology (IUST), Tehran, Iran. He received his B.Sc. from the Islamic Azad University of Mashhad in 2006 and his M.Sc. from the University of Tehran in 2010. His main research interests include water quality management, especially groundwater and water distribution systems, water quality simulation, and the application of meta-models in civil and environmental system management.

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Bazargan-Lari, M.R., Kerachian, R., Afshar, H. et al. Developing an optimal valve closing rule curve for real-time pressure control in pipes. J Mech Sci Technol 27, 215–225 (2013). https://doi.org/10.1007/s12206-012-1208-7

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  • DOI: https://doi.org/10.1007/s12206-012-1208-7

Keywords

  • Bayesian networks (BNs)
  • Method of characteristics
  • Non-dominated sorting genetic algorithms-II (NSGA-II)
  • Valve closing rule curve (VCRC)
  • Water hammer