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Smart Structures and Systems Volume 21, Number 4, April 2018 , pages 421-433 DOI: https://doi.org/10.12989/sss.2018.21.4.421 |
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Recognition of damage pattern and evolution in CFRP cable with a novel bonding anchorage by acoustic emission |
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Jingyu Wu, Chengming Lan, Guijun Xian and Hui Li
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| Abstract | ||
| Carbon fiber reinforced polymer (CFRP) cable has good mechanical properties and corrosion resistance. However, the anchorage of CFRP cable is a big issue due to the anisotropic property of CFRP material. In this article, a high-efficient bonding anchorage with novel configuration is developed for CFRP cables. The acoustic emission (AE) technique is employed to evaluate the performance of anchorage in the fatigue test and post-fatigue ultimate bearing capacity test. The obtained AE signals are analyzed by using a combination of unsupervised K-means clustering and supervised K-nearest neighbor classification (K-NN) for quantifying the performance of the anchorage and damage evolutions. An AE feature vector (including both frequency and energy characteristics of AE signal) for clustering analysis is proposed and the under-sampling approaches are employed to regress the influence of the imbalanced classes distribution in AE dataset for improving clustering quality. The results indicate that four classes exist in AE dataset, which correspond to the shear deformation of potting compound, matrix cracking, fiber-matrix debonding and fiber fracture in CFRP bars. The AE intensity released by the deformation of potting compound is very slight during the whole loading process and no obvious premature damage observed in CFRP bars aroused by anchorage effect at relative low stress level, indicating the anchorage configuration in this study is reliable. | ||
| Key Words | ||
| CFRP cable anchorage; acoustic emission; clustering-based pattern recognition; ultimate bearing capacity | ||
| Address | ||
| Jingyu Wu and Guijun Xian: Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Intelligent Disaster Mitigation of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China; School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China Chengming Lan: School of Civil and Resource Engineering, University of Science & Technology Beijing, Beijing, 100083, China Hui Li: Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China; Key Lab of Intelligent Disaster Mitigation of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China; School of Civil Engineering, Harbin Institute of Technology, Harbin, 150090, China; National Center for Materials Service Safety, University of Science & Technology Beijing, Beijing, 100083, China | ||