Advertisement

Transient Flow Study and Fault Detection in Polymeric Pipelines Inverse-Transient-Based Leak Detection Algorithm

  • Oussama ChouraEmail author
  • Sami Elaoud
  • Bruno Brunone
Conference paper
  • 70 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

This paper presents a technique for detection and location of faults in polymeric pipelines, by means of transient analysis, of water flows. The method uses transient pressure waves initiated by the sudden closure of a downstream shut-off valve. The presence of faults in pipes partially reflects these pressure waves and allows for the location of any type of fault e.g. leaks. Pressure waves are governed by two coupled non-linear, hyperbolic partial differential equations. The generalized Kelvin-Voigt model was adopted to model the viscoelastic behavior of the polymeric pipes. The fluid pressure head and flow rate are considered as two principal dependent variables. To locate the leak, the mathematical formulation has been solved by the method of characteristics (MOC) of specified time intervals along with Nelder-Mead optimization algorithm for the estimation of the flaw parameters (size and location). The numerical obtained results have shown a good agreement with the experimental data for the detection and the location of leaks.

Keywords

Transient flow Inverse transient analysis Polymeric pipes Leak detection MOC Nelder-Mead optimization algorithm 

References

  1. 1.
    Water Scarcity–World Wild Life. https://thewaterproject.org/water-scarcity/ Accessed 4 May 2018
  2. 2.
    Connor A (2014) Water and energy. United nations educational, scientific and cultural organization, vol 1, Chap 1Google Scholar
  3. 3.
    Le palmars des fuites dans les 101 prfectures de Fance. (French). Danielle Mitterond Fondation - France Liberts. Press release. (2014)Google Scholar
  4. 4.
    Guidara MA (2016) Analyse des conditions de rupture des conduites dadduction deau potable en polythylne, sous leffet dcoulement transitoire, enprsence dun dfaut, (French). PhD thesis. National school of engineering of SFAXGoogle Scholar
  5. 5.
    Renzetti S, Dupont DP (2013) Buried treasure: the economics of leak. detection and water loss prevention in OntarioGoogle Scholar
  6. 6.
    Wang XJ, Simpson AR, Lambert MF, Vitkovski JP (2001) Leak detection in pipeline systems using hydraulic methods: a review. Conference on hydraulics in civil engineering, pp 391–400. The Institution of Engineers-AustraliaGoogle Scholar
  7. 7.
    Pudar RS, Liggett JA (1992) Leaks in pipe networks. J. Hydraul. Eng. ASCE 118(7): 1031–1046  https://doi.org/10.1061/(asce)07339429(1992)118:7(1031)
  8. 8.
    Mukherjee J, Narasimhan S (1996) Leak detection in networks of pipelines by the generalized likelihood ratio method. In: Indus Eng Chem Res 35(6):18861893  https://doi.org/10.1021/ie950241t
  9. 9.
    Liggett JA, Chen LC (1994) Inverse transient analysis in pipe networks. In: J Hydraul Eng 120(8):934955  https://doi.org/10.1061/(asce)07339429(1994)120:8(934)
  10. 10.
    Chaudry H (2014) Applied hydraulic transients. SpringerGoogle Scholar
  11. 11.
    Colebrook CF (1939) Turbulent flow in pipes, with particular reference to the transition region between the smooth and rough pipe laws. In: J Inst Civil Eng 11(4):133156  https://doi.org/10.1680/ijoti.1939.13150
  12. 12.
    Covas D, Stoianov I, Mano JF, Ramos H, Graham N, Maksimovic C (2005) The dynamic effect of pipe-wall viscoelasticity in hydraulic transients. Part II model development, calibration and verification. In: J Hydraul Res 43(1):5670  https://doi.org/10.1080/00221680509500111
  13. 13.
    Ward W, Sweeney J (2005) Mechanical properties of solid polymers. Wiley, (2004) 14. T. S. Montgomery and W. J. MacKnight. Introduction to Polymer Viscoelasticity. WileyGoogle Scholar
  14. 14.
    Meniconi S, Brunone B, Ferrante M, Massari C (2013) Numerical and experimental investigation of leaks in viscoelastic pressurized pipe flow. In: Drink Water Eng Sci 6(1):1116  https://doi.org/10.5194/dwes-6-11-2013
  15. 15.
    Nelder JA, Mead R (1965) A Simplex method for function minimization. Comput. J. 7(4):308313  https://doi.org/10.1093/comjnl/7.4.308

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Laboratory of Applied Fluid Mechanics, Process Engineering and EnvironmentNational School of Engineering of SfaxSfaxTunisia
  2. 2.Water Engineering Laboratory, Department of Civil and Environmental EngineeringUniversity of PerugiaPerugiaItaly

Personalised recommendations