Detection of Leakage Freshwater and Friction Factor Calibration in Drinking Networks Using Central Force Optimization

Inverse Transient Analysis (ITA) is a powerful approach for leak detection and calibration of friction factors in pressurized pipes. Through this method, a transient flow is initiated and pressures are measured somewhere in the system. Then, a nonlinear programming (NLP) problem with a least-squares criterion objective function is developed to minimize discrepancies between the measured and calculated pressures at measurement sites. Solving the raised NLP results in the problem’s unknowns being leakage specifications and pipe friction factors. For this purpose, various optimization techniques may be utilized. This issue is a major challenge for ITA-based methods. The present work aims at applying the new method of Central Force Optimization (CFO) to the problem of ITA. CFO is a deterministic metaheuristic inspired by gravitational kinematics in which small objects in space are dragged by bigger ones. Herein, the concept and main structure of CFO are represented as well as of CFO. A reference pipe-network is considered to be solved using the ITA equipped with CFO. The results are then discussed compared to the previous works. It is concluded that CFO is easy to implement, computationally efficient and has a remarkable performance in solving leak detection problem.

[1]  Angus R. Simpson,et al.  Optimal Measurement Site Locations for Inverse Transient Analysis in Pipe Networks , 2003 .

[2]  Sanghyun Kim.  Extensive Development of Leak Detection Algorithm by Impulse Response Method , 2005 .

[3]  James A. Liggett,et al.  LEAKS IN PIPE NETWORKS , 1992 .

[4]  Helena M. Ramos,et al.  Hydraulic Transients used for Leakage Detection in Water Distribution Systems , 2001 .

[5]  Zoran S. Kapelan,et al.  A hybrid inverse transient model for leakage detection and roughness calibration in pipe networks , 2003 .

[6]  J. Liggett,et al.  Experimental Observation and Analysis of Inverse Transients for Pipeline Leak Detection , 2007 .

[7]  M. Chaudhry,et al.  Leak detection in pipes by frequency response method using a step excitation , 2001 .

[8]  Ali Haghighi,et al.  Leak detection in pipelines by inverse backward transient analysis , 2009 .

[9]  J. Liggett,et al.  Inverse Transient Analysis in Pipe Networks , 1994 .

[10]  E. Benjamin Wylie,et al.  Fluid Transients in Systems , 1993 .

[11]  M. Ferrante,et al.  Detecting leaks in pressurised pipes by means of transients , 2001 .

[12]  Bruno Brunone,et al.  Transient Test-Based Technique for Leak Detection in Outfall Pipes , 1999 .

[13]  Gary J. Weil.  Non Contact, Remote Sensing of Buried Water Pipeline Leaks Using Infrared Thermography , 1993 .

[14]  Ali Haghighi,et al.  Optimum leak detection and calibration of pipe networks by inverse transient analysis , 2010 .

[15]  M. Ferrante,et al.  Small Amplitude Sharp Pressure Waves to Diagnose Pipe Systems , 2011 .

[16]  Angus R. Simpson,et al.  LEAK DETECTION IN PIPELINES USING THE DAMPING OF FLUID TRANSIENTS , 2002 .

[17]  Ahmed M. A. Sattar,et al.  Wavelet-Galerkin Solution to the Water Hammer Equations , 2009 .

[18]  Richard A. Formato,et al.  CENTRAL FORCE OPTIMIZATION: A NEW META-HEURISTIC WITH APPLICATIONS IN APPLIED ELECTROMAGNETICS , 2007 .

[19]  Richard A. Formato,et al.  Central force optimisation: a new gradient-like metaheuristic for multidimensional search and optimisation , 2009, Int. J. Bio Inspired Comput..

[20]  Silvia Meniconi,et al.  Leak-edge detection , 2009 .

[21]  Angus R. Simpson,et al.  Experimental verification of the frequency response method for pipeline leak detection , 2006 .

[22]  Giovanni Maria Sechi,et al.  Location and Calibration of Valves in Water Distribution Networks Using a Scatter-Search Meta-heuristic Approach , 2009 .

[23]  Helena M. Ramos,et al.  Pressure Control for Leakage Minimisation in Water Distribution Systems Management , 2006 .

[24]  Ali Haghighi,et al.  Transient generation in pipe networks for leak detection , 2011 .

[25]  Witness Mpesha,et al.  Leak detection in pipes by frequency response method using a step excitation , 2001 .

[26]  Kishore Sirvole,et al.  Transient Analysis in Pipe Networks , 2007 .

[27]  Helena M. Ramos,et al.  Standing Wave Difference Method for Leak Detection in Pipeline Systems , 2005 .

[28]  Richard Burrows,et al.  An Integrated Model to Evaluate Losses in Water Distribution Systems , 2009 .

[29]  Hanif M. Chaudhry,et al.  Applied Hydraulic Transients , 1979 .

[30]  Ahmed M. A. Sattar,et al.  Leak detection in pipelines by frequency response method , 2008 .

[31]  Symeon E. Christodoulou,et al.  Proactive Risk-Based Integrity Assessment of Water Distribution Networks , 2010 .

[32]  H. J. M. Hanley,et al.  Experimental Verification of the , 1965 .

[33]  Bryan W. Karney,et al.  Systematic exploration of pipeline network calibration using transients , 2008 .

[34]  Mahdi Zarghami,et al.  Urban Water Management Using Fuzzy-Probabilistic Multi-Objective Programming with Dynamic Efficiency , 2010 .

[35]  B Marandet,et al.  Experimental Verification of the J Ic and Equivalent Energy Methods for the Evaluation of the Fracture Toughness of Steels , 1977 .

[36]  Angus R. Simpson,et al.  Leak Detection and Calibration Using Transients and Genetic Algorithms , 2000 .

[37]  Pedro Lee,et al.  Frequency Domain Analysis for Detecting Pipeline Leaks , 2005 .

[38]  Abdulrahman Mohammad Al-khomairi.  Leak detection in long pipelines using the least squares method , 2008 .