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Piezoelectric-based wireless vibration characteristic research for rail base of turnout switch rail

Lookup NU author(s): Professor Gui Yun TianORCiD, Qiang Liu, Dr Aimin Wang


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This paper introduces wireless structural health monitoring(SHM) technique for damage length detection and characterization in rail base of turnout switch rail. The theory and finite element method (FEM) for damage detection using guided wave are described, and then the experiment setup is introduced in detail. Simulation and experiment consider the mode information from rail base's cracks with different length. The results show the developed wireless configuration can identify the existence and cracks with different length.

Publication metadata

Author(s): Hu P, Wang H, Tian G, Wang P, Guo R, Qiu F, Liu Q, Wang WH

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 1st World Congress on Condition Monitoring

Year of Conference: 2017

Online publication date: 13/06/2017

Acceptance date: 02/04/2016

Publisher: British Institute of Non-Destructive Testing