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

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  • Ali Haghighi
  • Helena Ramos

Abstract

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. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Ali Haghighi & Helena Ramos, 2012. "Detection of Leakage Freshwater and Friction Factor Calibration in Drinking Networks Using Central Force Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2347-2363, June.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:8:p:2347-2363
    DOI: 10.1007/s11269-012-0020-6
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    References listed on IDEAS

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    Cited by:

    1. Sanghyun Kim, 2019. "Valve Maneuver Prediction in Simple and Complicated Pipeline Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(14), pages 4671-4685, November.
    2. Sang Hyun Kim, 2017. "Multiple Leakage Function for a Simple Pipeline System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2659-2673, July.
    3. Chi Zhang & Martin F. Lambert & Jinzhe Gong & Aaron C. Zecchin & Angus R. Simpson & Mark L. Stephens, 2020. "Bayesian Inverse Transient Analysis for Pipeline Condition Assessment: Parameter Estimation and Uncertainty Quantification," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2807-2820, July.
    4. Sang Hyun Kim, 2018. "Development of Multiple Leakage Detection Method for a Reservoir Pipeline Valve System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2099-2112, April.
    5. Sou-Sen Leu & Quang-Nha Bui, 2016. "Leak Prediction Model for Water Distribution Networks Created Using a Bayesian Network Learning Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(8), pages 2719-2733, June.
    6. Iman Ahmadianfar & Bijay Halder & Salim Heddam & Leonardo Goliatt & Mou Leong Tan & Zulfaqar Sa’adi & Zainab Al-Khafaji & Raad Z. Homod & Tarik A. Rashid & Zaher Mundher Yaseen, 2023. "An Enhanced Multioperator Runge–Kutta Algorithm for Optimizing Complex Water Engineering Problems," Sustainability, MDPI, vol. 15(3), pages 1-28, January.
    7. Sanghyun Kim, 2016. "Impedance Method for Abnormality Detection of a Branched Pipeline System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1101-1115, February.
    8. S.Mahmood Jazayeri Moghaddas & Hossein M.V. Samani, 2017. "Application of Central Force Optimization Method to Design Transient Protection Devices for Water Transmission Pipelines," Modern Applied Science, Canadian Center of Science and Education, vol. 11(3), pages 1-76, March.
    9. Mansouri, R., 2018. "Economical Optimization of the Pressure Irrigation Networks by using Developed Central Force Optimization Algorithm," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275982, International Association of Agricultural Economists.
    10. Adell Moradi Sabzkouhi & Ali Haghighi, 2018. "Uncertainty Analysis of Transient Flow in Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3853-3870, September.
    11. Ali Haghighi, 2015. "Analysis of Transient Flow Caused by Fluctuating Consumptions in Pipe Networks: A Many-Objective Genetic Algorithm Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2233-2248, May.
    12. Chi Zhang & Jinzhe Gong & Martin F. Lambert & Angus R. Simpson & Aaron C. Zecchin, 2019. "Sensor Placement Strategy for Pipeline Condition Assessment Using Inverse Transient Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2761-2774, June.
    13. Abdulshaheed, A. & Mustapha, F. & Ghavamian, A., 2017. "A pressure-based method for monitoring leaks in a pipe distribution system: A Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 902-911.
    14. Yen-Chen Huang & Chao-Chin Lin & Hund-Der Yeh, 2015. "An Optimization Approach to Leak Detection in Pipe Networks Using Simulated Annealing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 4185-4201, September.
    15. Huan-Feng Duan, 2015. "Uncertainty Analysis of Transient Flow Modeling and Transient-Based Leak Detection in Elastic Water Pipeline Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5413-5427, November.
    16. Gustavo Meirelles & Daniel Manzi & Bruno Brentan & Thaisa Goulart & Edevar Luvizotto, 2017. "Calibration Model for Water Distribution Network Using Pressures Estimated by Artificial Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4339-4351, October.
    17. Abbas Al-Omari, 2013. "A Methodology for the Breakdown of NRW into Real and Administrative Losses," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 1913-1930, May.

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