Inexpensive Pipelines Health Evaluation Techniques Based on Resonance Determination, Numerical Simulation and Experimental Testing
- 1 School of Engineering, Manchester Metropolitan University, Manchester, UK
Abstract
In this paper, a non-destructive, reliable, and inexpensive vibration-based technique for evaluating Carbon steel pipes structure integrity. The proposed techniques allow a quick assessment of pipes structures at final pipe manufacturing stages and/or just before installation. A finite element modelling (FEM) using ABAQUS software was developed to determine the resonance mode of healthy Carbon steel pipe and a series of experiments were conducted to verify the outcomes of the modelling work. Consequently, the effects of quantified seeded faults, i . e ., a 1 mm , 2 mm , 3 mm, and 4 mm diameter holes in the pipe wall on these resonance modes were determined using modelling work. A number of common used vibration analysis techniques were applied to detect and to evaluate the severity of those quantified faults. The amplitudes and frequencies of vibration signals were measured and compared. There were found to be in good agreement with the modelling work and provide important information on pipe construction condition and fault sever ity.
- J. Hu, L. Zhang and W. Liang, “Detection of Small Leak-age from Long Transportation Pipeline with Complex Noise,” Journal of Loss Prevention in the Process Industries, Vol. 24, pp. 449-457. doi:10.1016/j.jlp.2011.04.003
- D. N. Sinha, “Acoustic Sensor for Pipeline Monitoring,” Technical Report, Gas Technology Management Division Strategic Center for Natural Gas and Oil National Energy Technology Laboratory, Morgantown, 2005.
- Y. Khulief, A. Khalifa, R. Mansour and M. Habib, “Acoustic Detection of Leaks in Water Pipelines Using Measurements inside Pipe,” Journal of Pipeline Systems Engineering and Practice, Vol. 3, No. 2, 2012, pp. 47-54.
- F. Hao, A. Yang, J. Shijiu and Z. Zhoumo, “Desensitization Elimination in Pipeline Leakage Detection and Pre-Warning System Based on the Modeling Using Jones Matrix,” 2010 IEEE on Sensors Applications Symposium (SAS), Tianjin, 23-25 February 2010, pp. 101-104.
- Y. Jin, W. Yumei and L. Ping, “Information Processing for Leak Detection on Underground Water Supply Pipelines,” 2010 Third International Workshop on Advanced Computational Intelligence (IWACI), Chongqing, 25-27 August 2010, pp. 623-629.