Acoustic emission monitoring of damage progression in fiber reinforced polymer rods
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Date
2017
Authors
Shateri, Mohammadhadi
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Abstract
The fiber reinforced polymer (FRP) bars have been widely used in pre-stressing applications and reinforcing of the civil structures. High strength-to-weight ratio and high resistance to the corrosion make the FRP bars a good replacement for steel reinforcing bars in civil engineering applications. According to the CAN/CSA-S806-12 standard, the maximum recommended stress in FRP bars under service loads should not exceed 25% and 65% of the ultimate strength for glass FRP (GFRP) and carbon FRP (CFRP), respectively. These stress values are set to prevent creep failure in FRP bars. However, for in-service applications, there are few physical indicators that these values have been reached or exceeded. In this work analysis of acoustic emission (AE) signals is used. Two new techniques based on pattern recognition and frequency entropy of the isolated acoustic emission (AE) signal are presented for monitoring damage progression and prediction of failure in FRPs.
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Keywords
Acoustic emission signal, Fiber reinforced polymer rod, Damage monitoring and failure prediction, RMS detection algorithm, Shannon entropy, Fuzzy C-means clustering