Advertisement

Journal of Mechanical Science and Technology

, Volume 20, Issue 3, pp 426–434 | Cite as

Transient Analysis and Leakage Detection Algorithm using GA and HS algorithm for a Pipeline System

  • Sang- Hyun Kim
  • Wan-Suk Yoo
  • Kwang-Jung Oh
  • In-Sung Hwang
  • Jeong-Eun Oh
Article

Abstract

The impact of leakage was incorporated into the transfer functions of the complex head and discharge. The impedance transfer functions for the various leaking pipeline systems 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 to the condition of turbulent flow. The leak calibration could be performed by incorporation of the impulse response method with Genetic Algorithm (GA) and Harmony Search (HS). The objective functions for the leakage detection can be made using the pressure-head response at the valve, or the pressure-head or the flow response at a certain point of the pipeline located upstream from the valve. The proposed method is not constrained by the Courant number to control the numerical dissipation of the method of charac teristics. The limitations associated with the discreteness of the pipeline system in the inverse transient analysis can be neglected in the proposed method.

Key Words

Pipeline Transients Leakage Detection Evolutionary Optimization 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bergant, A., Simpson R. S. and Vitkovsky, J., 2001, Developments in Unsteady Flow Friction Modeling. J. Hydrau. Res., 39(3), pp. 249–257.Google Scholar
  2. Brown, F. T., 1962,The transient Response of Fluid Lines, J. Basic Engrg., TRANS. ASME, 84 (4), pp. 547–553.Google Scholar
  3. Geem, Z. W., 2000, “Optimal Design of Water Distribution Networks using Harmony Search,”Ph.D. Thesis, Korea University.Google Scholar
  4. Goldberg, D. E., 1989,Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publishing Co., Inc.Google Scholar
  5. Kim, S., Yoo, W. and Kang, I., 2001, “Detection of Leakage Point via Frequency Analysis of a Pipeline Flow,”KSME International Journal, 15(2), pp. 232–238.Google Scholar
  6. Liggett, J. A. and Chen, L., 1994, “Inverse Transient Analysis in Pipe Networks,”J. Hyd. Engrg., ASCE, 120(8), pp. 934–955.CrossRefGoogle Scholar
  7. Mpesha, W., Gassman, S. L. and Chaudhry, M. H., 2001, “Leak Detection in Pipes by Frequency Response Method,”J. Hydr. Engrg., ASCE, 127 (2), pp. 134–147.CrossRefGoogle Scholar
  8. Nash, G. A. and Karney, B. W., 1999, “Efficient Inverse Transient Analysis in Series Pipe Systems,”J. Hydr. Engrg., ASCE, 125(7), pp. 761 - 764.CrossRefGoogle Scholar
  9. Roberson, J. A., Cassidy, J. J. and Chaudhry, M. H., 1995,Hydraulic Engineering, John Wiley and Sons, Inc., N. Y.Google Scholar
  10. Suo, L. and Wylie, E. B., 1989, “Impulse Response Method for Frequency-Dependent Pipeline Transients,”J. Fluids Engrg. Trans. ASME, 111(4), pp. 478–483.CrossRefGoogle Scholar
  11. Vitkovsky, J. P., Simpson, A. R. and Lambert M. F., 2000, “Leak Detection and Calibration using Transients and Genetic Algorithms,”J. Water Resour. Ping, and Mgmt., ASCE, 125(5), pp. 302–306.Google Scholar
  12. Wylie, E. B. and Streeter, V.L., 1993,Fluid Transient in Systems, Prentice Hall, Inc., Englewood Cliffs, N.J.Google Scholar
  13. Zielke, W. and Rosl, G., 1971, Discussion of Resonance in Pressurized Piping Systems. J. Hyd. Div., ASCE, 97(HY7), pp. 1141–1145.Google Scholar

Copyright information

© The Korean Society of Mechanical Engineers (KSME) 2003

Authors and Affiliations

  • Sang- Hyun Kim
    • 1
  • Wan-Suk Yoo
    • 2
  • Kwang-Jung Oh
    • 1
  • In-Sung Hwang
    • 1
  • Jeong-Eun Oh
    • 1
  1. 1.Environmental EngineeringPusan National UniversityBusanKorea
  2. 2.CAELab, NRLPusan National UniversityBusanKorea

Personalised recommendations