Assessment of fatigue damage features in a piping system using signal processing approach

  • Authors:

  • S. Abdullah;M. Loman;N. Jamaluddin;A. Arifin;Z. Mohd Nopiah;M. Z. Nuawi

  • Affiliations:

  • Department of Mechanical & Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Department of Mechanical & Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Department of Mechanical & Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Department of Mechanical & Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Department of Mechanical & Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia;Department of Mechanical & Materials Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

  • Venue:
  • SIP'08 Proceedings of the 7th WSEAS International Conference on Signal Processing
  • Year:
  • 2008

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Abstract

This study focuses on the assessment of fatigue damage in a piping system. Strain loading data was acquired using the fatigue data acquisition devices on a lab scale piping system. Specifically, the data was measured on the rough and smooth piping surfaces simultaneously where the strain gauges were mounted on both of the piping surfaces. In this study, three different water flow rates were operated in the experiments which were normal, maximum and variable. The normal water flow rate was then assumed as the reference flow rate for the subsequent fatigue analysis. The recorded strain signal was then analysed using the frequency and time-frequency method, and the short-time Fourier transform was applied to explain the damage situation. The fatigue data from the experiment was employed to calculate the fatigue damage of this piping system.