Novel Damage Detection Techniques for Structural Health Monitoring Using a Hybrid Sensor

Dengjiang Wang, Jingjing He, Banglin Dong, Xiaopeng Liu and Weifang Zhang

Mathematical Problems in Engineering, 2016, vol. 2016, 1-13

Abstract:

This study presents a technique for detecting fatigue cracks based on a hybrid sensor monitoring system consisting of a combination of intelligent coating monitoring (ICM) and piezoelectric transducer (PZT) sensors. An experimental procedure using this hybrid sensor system was designed to monitor the cracks generated by fatigue testing in plate structures. A probability of detection (POD) model that quantifies the reliability of damage detection for a specific sensor or the nondestructive testing (NDT) method was used to evaluate the weight factor for the ICM and PZT sensors. To estimate the uncertainty of model parameters in this study, the Bayesian method was employed. Realistic data from fatigue testing was used to validate the overall method, and the results show that the novel damage detection technique using a hybrid sensor can quantify fatigue cracks more accurately than results obtained by conventional sensor methods.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:3734258

DOI: 10.1155/2016/3734258

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