Damage pattern recognition for corroded beams strengthened by CFRP anchorage system based on acoustic emission techniques

声发射 材料科学 撕裂 腐蚀 聚类分析 结构工程 复合材料 计算机科学 工程类 机器学习
作者
Tanbo Pan,Yonglai Zheng,Yubao Zhou,Wenbin Luo,Xubing Xu,Chenyu Hou,Yujue Zhou,Yujue Zhou,Yujue Zhou
出处
期刊:Construction and Building Materials [Elsevier BV]
卷期号:406: 133474-133474 被引量:22
标识
DOI:10.1016/j.conbuildmat.2023.133474
摘要

<p>This study presents a damage pattern recognition approach for corroded steel beams strengthened by CFRP anchorage system based on acoustic emission clustering analysis. The proposed method includes four steps: acoustic emission signal acquisition, feature extraction, clustering analysis, and damage pattern recognition. Four corroded beams with different corrosion levels and strengthening schemes were tested under four-point bending loading. The acoustic emission signals were collected during the loading process and analyzed using Gaussian mixture model clustering method. The results showed that the collected AE data were analyzed using clustering analysis, successfully distinguishing the distinct damage patterns associated with each mode. The AE signals exhibited distinct characteristics for different damage modes: concrete matrix damage had high-frequency and low-energy characteristics, CFRP-matrix debonding showed intermediate values for all parameters, and CFRP tearing had longer durations, lower peak frequencies, and high-energy characteristics. Besides, the study identified three stages of the damage process: an initial stage with fewer low-intensity AE signals, a damage development stage characterized by an increase in concrete-matrix damage and CFRP – matrix debonding signals, and a continuous damage growth stage with significant AE signals associated with three damage modes. Furthermore, the degree of corrosion significantly influenced the cumulative AE energy of damage modes. Lower degrees of corrosion led to higher cumulative energy from concrete matrix damage and CFRP-matrix debonding. These findings provide valuable insights for understanding the damage evolution and failure mechanisms of CFRP-strengthened corroded beams. The use of AE techniques for damage pattern recognition can enhance the evaluation and design of CFRP anchorage systems, leading to more effective rehabilitation strategies for corroded structures.</p>
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