Structural Engineering and Mechanics

Techno-Press (테크노프레스)
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Health monitoring of pressurized pipelines by finite element method using meta-heuristic algorithms along with error sensitivity assessment

  • Received : 2021.08.20
  • Accepted : 2023.06.28
  • Published : 2023.08.10
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Abstract

The structural health of a pipeline is usually assessed by visual inspection. In addition to the fact that this method is expensive and time consuming, inspection of the whole structure is not possible due to limited access to some points. Therefore, adopting a damage detection method without the mentioned limitations is important in order to increase the safety of the structure. In recent years, vibration-based methods have been used to detect damage. These methods detect structural defects based on the fact that the dynamic responses of the structure will change due to damage existence. Therefore, the location and extent of damage, before and after the damage, are determined. In this study, fuzzy genetic algorithm has been used to monitor the structural health of the pipeline to create a fuzzy automated system and all kinds of possible failure scenarios that can occur for the structure. For this purpose, the results of an experimental model have been used. Its numerical model is generated in ABAQUS software and the results of the analysis are used in the fuzzy genetic algorithm. Results show that the system is more accurate in detecting high-intensity damages, and the use of higher frequency modes helps to increase accuracy. Moreover, the system considers the damage in symmetric regions with the same degree of membership. To deal with the uncertainties, some error values are added, which are observed to be negligible up to 10% of the error.

Keywords

References

  1. ABAQUS (2003), Analysis User's Manual, Version 6.4, 19.2.2. Hbbit, Karlsson & Sorensen, Inc.
  2. Al-Hashimy, Z.I., Al-Kayiem, H.H. and Time, R.W. (2016), "Experimental investigation on the vibration induced by slug flow in horizontal pipe", J. Eng. Appl. Sci., 11(20), 12134-12139.
  3. Amirmuhammad, J. (2018), "Application of artificial intelligence and meta-heuristic algorithms in civil health monitoring systems", Civil Eng. J., 4(7), 1653-1666. https://doi.org/10.28991/cej-03091102.
  4. Amr, S., Hassan, E.G. and Elarabi, M.A. (2019), "Vibrations analysis of pipe convoying pulsating fluid flow", Int. J. Sci. Res. (IJSR), 8(1), 1696-1709. https://doi.org/10.21275/ART20195628.
  5. Ashley, A. and Haviland, G. (1950), "Bending vibrations of a pipe line containing flowing fluid", J. Appl. Mech., 17(3), 229-232. https://doi.org/10.1115/1.4010122.
  6. Chio, L. (2015), "Statistical analyses of historical pipeline incident data with application to the risk assessment of onshore natural gas transmission pipelines", M.Sc. Dissertation, The University of Western Ontario London, Ontario, Canada.
  7. Di, C. (2015), "Finite element analysis of fluid-structure interaction in piping systems", M.Sc. Dissertation, University of Technology Sydney, Sydney, Australia.
  8. Dupuis, C. and Rousselet, J. (1980), "FSI analysis of liquid-filled pipes", J. Sound Vib., 98(3), 415-429. https://doi.org/10.1016/0022-460X(85)90285-8.
  9. Housner, G.W. (1952), "Bending vibrations of a pipe line containing flowing fluid", J. Appl. Mech., 19(2), 205-208. https://doi.org/10.1115/1.4010447.
  10. Lee, H. (2010), "Finite element analysis of a buried pipeline", M.Sc. Dissertation, University of Manchester, Manchester.
  11. Lee, H. and Sohn, H. (2012), "Damage detection for pipeline structures using optic-based active sensing", Smart Struct. Syst., 9(5), 461-472. https://doi.org/10.12989/sss.2012.9.5.461.
  12. Li, T. and Dimaggio, O.D. (1964), "Vibration of a propellant line containing flowing fluid (Transverse vibration of propellant line with internal flowing fluid, using beam approach)", AIAA Fifth Annual Structures and Materials Conference, 12(1), 194-199. https://doi.org/10.1115/1.4010971.
  13. Long, R.H. (1955), "Experimental and theoretical study of transverse vibration of a tube containing flowing fluid", Appl. Mech., 22(1), 65-68. https://doi.org/10.1115/1.4010971.
  14. Mironova, T.B., Prokofiev, A.B. and Sverbilov, V.Y. (2017), "The finite element technique for modelling of pipe system vibroacoustical Characteristics", Procedia Eng., 176(1), 681-688. https://doi.org/10.1016/j.proeng.2017.02.313.
  15. Pawar, P.M. and Ganguli, R. (2003), "Genetic fuzzy system for damage detection in beams and helicopter rotor blades", Comput. Meth. Appl. Mech. Eng., 192(16), 2031-2057. https://doi.org/10.1016/S0045-7825(03)00237-8.
  16. Yang, K. and Zhang, L. (2004), "Longitudinal vibration analysis of multi-span liquid-filled pipelines with rigid constraints", J. Sound Vib., 273(2), 125-147. https://doi.org/10.1016/S0022-460X(03)00422-X.
  17. Yi-min, H., Seng, G., Wei, W. and Jie, H. (2012), "A direct method of natural frequency analysis on pipeline conveying fluid with both ends supported", Nucl. Eng. Des., 253(1), 12-22. https://doi.org/10.1016/j.nucengdes.2012.01.022.
  18. Yi-Min, H., Yong-Shou, L., Bao-Hui, L., Yan-Jiang, L. and Zhu-Feng, Y. (2010), "Natural frequency analysis of fluid conveying pipeline with different boundary conditions", Nucl. Eng. Des., 240(3), 461-467. https://doi.org/10.1016/j.nucengdes.2009.11.038.
  19. Zhang, L. (1999), "FSI analysis of liquid-filled pipes", J. Sound Vib., 224(1), 69-99. https://doi.org/10.1006/isvi.1999.2158.