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

  • Kim Sang-Hyun (Environmental Engineering, Pusan National University) ;
  • Yoo Wan-Suk (CAELab, NRL, Pusan National University) ;
  • Oh Kwang-Jung (Environmental Engineering, Pusan National University) ;
  • Hwang In-Sung (Environmental Engineering, Pusan National University) ;
  • Oh Jeong-Eun (Environmental Engineering, Pusan National University)
  • 발행 : 2006.03.01

초록

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 characteristics. The limitations associated with the discreteness of the pipeline system in the inverse transient analysis can be neglected in the proposed method.

키워드

참고문헌

  1. Bergant, A., Simpson R. S. and Vitkovsky, J., 2001, Developments in Unsteady Flow Friction Modeling. J. Hydrau. Res., 39(3), pp. 249-257 https://doi.org/10.1080/00221680109499828
  2. Brown, F. T., 1962, The transient Response of Fluid Lines, J. Basic Engrg., TRANS. ASME, 84(4), pp. 547-553 https://doi.org/10.1115/1.3658705
  3. Geem, Z. W., 2000, 'Optimal Design of Water Distribution Networks using Harmony Search,' Ph.D. Thesis, Korea University
  4. Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publishing Co., Inc.
  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
  6. Liggett, J. A. and Chen, L., 1994, 'Inverse Transient Analysis in Pipe Networks,' J. Hyd. Engrg., ASCE, 120(8), pp. 934-955 https://doi.org/10.1061/(ASCE)0733-9429(1994)120:8(934)
  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 https://doi.org/10.1061/(ASCE)0733-9429(2001)127:2(134)AdditionalInformation
  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 https://doi.org/10.1061/(ASCE)0733-9429(1999)125:7(761)
  9. Roberson, J. A., Cassidy, J. J. and Chaudhry, M. H., 1995, Hydraulic Engineering, John Wiley and Sons, Inc., N. Y.
  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 https://doi.org/10.1115/1.3243671
  11. Vitkovsky, J. P., Simpson, A. R. and Lambert M. F., 2000, 'Leak Detection and Calibration using Transients and Genetic Algorithms,' J. Water Resour. Plng. and Mgmt., ASCE, 125(5), pp. 302-306 https://doi.org/10.1061/(ASCE)0733-9496(2000)126:4(262)
  12. Wylie, E. B. and Streeter, V. L., 1993, Fluid Transient in Systems, Prentice Hall, Inc., Englewood Cliffs, N. J.
  13. Zielke, W. and Rosl, G., 1971, Discussion of Resonance in Pressurized Piping Systems. J. Hyd. Div., ASCE, 97(HY7), pp. 1141-1145