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Proceedings Paper

Detection and monitoring of axial cracks on cylindrical structures using torsional wave generated by piezoelectric macro-fiber composite
Author(s): Lin Cui; Say Ian Lim; Miao Shi; Yu Liu; Chee Kiong Soh
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Paper Abstract

In cylindrical structures such as pipelines and pressure vessels, cracks are most likely to occur along the longitudinal (axial) direction and they can be fatal to the serviceability of the structures. Unfortunately, the conventional ultrasonic crack detection techniques, which usually use longitudinal wave, are not very sensitive to this type of cracks. This paper focuses on the detection and monitoring of axial cracks in cylindrical structures using torsional wave generated by piezoelectric macro-fiber composite (MFC). The first order torsional wave is a kind of non-dispersive pure shear wave which propagates at a fixed wave speed. Torsional wave is utilized in this work because, intuitively, it is more sensitive to axial cracks than the family of longitudinal waves. Numerical simulation has been performed using ANSYS to show the effectiveness of torsional wave in detecting and monitoring axial cracks. The time of flight (TOF) of the waves is used to determine the crack position, while the crack propagation is monitored by measuring the variation in the crack induced disturbances. Experiments have also been conducted to investigate the feasibility of the proposed method. MFC transducers oriented at 45° against the axis of the specimen are used to generate and receive torsional waves. The experimental results demonstrated that the crack position can be indentified and its growth can be well monitored with the presented approach using torsional wave.

Paper Details

Date Published: 20 April 2012
PDF: 12 pages
Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 83482N (20 April 2012); doi: 10.1117/12.914957
Show Author Affiliations
Lin Cui, Nanyang Technological Univ. (Singapore)
Say Ian Lim, Nanyang Technological Univ. (Singapore)
Miao Shi, Nanyang Technological Univ. (Singapore)
Yu Liu, Nanyang Technological Univ. (Singapore)
Chee Kiong Soh, Nanyang Technological Univ. (Singapore)


Published in SPIE Proceedings Vol. 8348:
Health Monitoring of Structural and Biological Systems 2012
Tribikram Kundu, Editor(s)

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