Real-time monitoring of the bridge cable health by acoustic emission and b-value analysis

Bridge cable is an important part of the cable-stayed bridge, and reliable methods are necessary to ensure its safety. This paper proposes an algorithm which realizes real-time monitoring the health of bridge cable by the b-value analysis and acoustic emission technique. The algorithm can eliminate the impulse noise and the continuous noise. Discrete wavelet transform decomposes the AE signal, and then wavelet coefficients are processed. By comparing the b-value with the predefined threshold, the method can monitor the health of bridge cable. And this method can realize the real-time monitoring.

[1]  Christian U. Grosse,et al.  Stress Drop and Stress Redistribution in Concrete Quantified Over Time by the b-value Analysis , 2006 .

[2]  S Shahidan,et al.  An observation of noise intervention into acoustic emission signal on concrete structure , 2011, 2011 IEEE 7th International Colloquium on Signal Processing and its Applications.

[3]  Hui Li,et al.  Fatigue damage characterization of carbon fiber reinforced polymer bridge cables: Wavelet transform analysis for clustering acoustic emission data , 2011 .

[4]  Dan Wang,et al.  The Wavelet Transform in the Acoustic Emission Signal Feature Extraction of the Rubbing Fault , 2009, 2009 First International Workshop on Database Technology and Applications.

[5]  A. Ledeczi,et al.  Wireless Acoustic Emission Sensor Network for Structural Monitoring , 2009, IEEE Sensors Journal.

[6]  Yves Wouters,et al.  Detection of Breakaway Oxidation with Acoustic Emission During Zirconium Oxide Scale Growth , 2013, Oxidation of Metals.

[7]  Dongsheng Li.  Acoustic emission monitoring and critical failure identification of bridge cable damage , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[8]  Ramin Khamedi,et al.  Effect of martensite phase volume fraction on acoustic emission signals using wavelet packet analysis during tensile loading of dual phase steels , 2010 .

[9]  Hui Li,et al.  Monitoring and Failure Analysis of Corroded Bridge Cables under Fatigue Loading Using Acoustic Emission Sensors , 2012, Sensors.

[10]  M. Modarres,et al.  Acoustic emission-based fatigue crack growth prediction , 2013, 2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS).

[11]  P. P. Acarnley,et al.  Acoustic emission from wire ropes during proof load and fatigue testing , 2007 .

[12]  Piervincenzo Rizzo,et al.  Acoustic emission monitoring of carbon-fiber-reinforced-polymer bridge stay cables in large-scale testing , 2001 .

[13]  M. V. M. S. Rao,et al.  Analysis of b-value and improved b-value of acoustic emissions accompanying rock fracture , 2005 .

[14]  Jing Li,et al.  Investigations of the fatigue damage in 16Mn steels by wavelet-based acoustic emission technique , 2012, Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing).

[15]  Michael Forde,et al.  Assessing Damage of Reinforced Concrete Beam using b -value Analysis of Acoustic Emission Signals , 2003 .