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De-Bonding Detection on a CFRP Laminated Concrete Beam Using Self Sensing-Based Multi-Scale Actuated Sensing with Statistical Pattern Recognition

De-Bonding Detection on a CFRP Laminated Concrete Beam Using Self Sensing-Based Multi-Scale... This paper reports a novel structural health monitoring (SHM) technique for detecting de-bonding defects between a concrete beam structure and a CFRP (Carbon Fiber Reinforced Polymer) sheet attached to the concrete surface. To achieve this purpose, a multi-scale actuated sensing system with a self-sensing circuit using piezoelectric active sensors was applied to a CFRP laminated concrete beam structure. In the self-sensing based multi-scale actuated sensing system, a wide frequency-band structural response from the self-sensed impedance measurements and a specific frequency-induced structural wavelet response from the self-sensed guided wave measurement were utilized to localize the de-bonding defects. Furthermore, in order to quantify the de-bonding levels, the supervised learning-based statistical pattern recognition was implemented by composing a two-dimensional (2D) plane using the damage indices extracted from the impedance and guided wave features. The different levels of de-bonding defects inflicted artificially on the CFRP laminated concrete beam structure were investigated to confirm the effectiveness of the proposed SHM approach. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advances in Structural Engineering SAGE

De-Bonding Detection on a CFRP Laminated Concrete Beam Using Self Sensing-Based Multi-Scale Actuated Sensing with Statistical Pattern Recognition

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Publisher
SAGE
Copyright
© 2012 SAGE Publications
ISSN
1369-4332
eISSN
2048-4011
DOI
10.1260/1369-4332.15.6.919
Publisher site
See Article on Publisher Site

Abstract

This paper reports a novel structural health monitoring (SHM) technique for detecting de-bonding defects between a concrete beam structure and a CFRP (Carbon Fiber Reinforced Polymer) sheet attached to the concrete surface. To achieve this purpose, a multi-scale actuated sensing system with a self-sensing circuit using piezoelectric active sensors was applied to a CFRP laminated concrete beam structure. In the self-sensing based multi-scale actuated sensing system, a wide frequency-band structural response from the self-sensed impedance measurements and a specific frequency-induced structural wavelet response from the self-sensed guided wave measurement were utilized to localize the de-bonding defects. Furthermore, in order to quantify the de-bonding levels, the supervised learning-based statistical pattern recognition was implemented by composing a two-dimensional (2D) plane using the damage indices extracted from the impedance and guided wave features. The different levels of de-bonding defects inflicted artificially on the CFRP laminated concrete beam structure were investigated to confirm the effectiveness of the proposed SHM approach.

Journal

Advances in Structural EngineeringSAGE

Published: Jun 1, 2012

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