Damage Detection in Fluid-Conveying Pipe Using Dynamic Interaction Tracking of Moving Load Method

Document Type : Original Article

Authors

1 Ph.D. Student in Hydraulic Structures Engineering, Faculty of Civil Engineering, University of Tabriz

2 Professor, Faculty of Mechanical Engineering, University of Tabriz

3 Assistant Professor, Faculty of Mechanical Engineering, University of Tabriz

4 Assistant Professor, Faculty of Civil Engineering, University of Tabriz

Abstract

Fluid conveying pipe used in different fields such as petrochemical, oil, gas, hydraulic structures in transmission lines.The damage caused by vibrations damaging pipes or other components of a power plant industrial plants are related to each other, one of the main reasons for the loss of production time is considered damage and ultimately fires in industrial plants. So make a way as to identify damage in the fluid conveying pipe is of particular importance.The purpose of this study, the effect of the fluid inside the pipe vibration characteristic is a theoretical approach.Then for forced vibration analysis of fluid pipe considered passes through the external moving oscillator. And then a method to detect damage in pipes recommended based on fuzzy-genetic algorithm. First, fluid conveying pipe dynamic equations, modeled interaction between external moving, pipe and fluid then solving vibration system, acceleration time history extracted from midpoint of pipe. Subsequently, a new method of damage detection in simply supported pipe is introduced based on fuzzy-genetic algorithm. The new method is capable of identifying the location and severity of the damage. This algorithm is developed to detect the damage location along the beam, which can detect the damage location based on the pattern of beam frequency variations between undamaged and damaged states. The severity of damage is assessed based on quantitative variations in frequencies.

Keywords

References

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History

  • Receive Date: 22 May 2015
  • Revise Date: 31 July 2015
  • Accept Date: 20 September 2015

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