Journal
COMPOSITE STRUCTURES
Volume 238, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2020.111948
Keywords
Unidirectional CFRP; Pattern recognition; Damage evolution; Acoustic emission; Hilbert-Huang transform; Digital image correlation (DIC)
Categories
Funding
- Specialized Research Fund of the National Key Research and Development Plan of China [2016YFC0701103]
- National Natural Science Foundation of China [51525803]
Ask authors/readers for more resources
The purpose of this paper is to use acoustic emission (AE) technology to realize the damage pattern recognition and the damage evolution of unidirectional (UD) CFRP tendons in the tensile process. In order to realize this goal, the tensile test of UD CFRP tendons was carried out. The adaptive Hilbert-Huang transform was used to analyze the AE signal in time-frequency domain to obtain the Hilbert marginal energy spectrum (HMES) and instantaneous energy spectrum (IES) of the signal. Damage pattern recognition was realized through HMES and IES. In this paper, a mutation function and a cumulative function were proposed based on HMES to study the evolution of different damage mechanisms and the internal relationship between them. In order to verify the reliability of the proposed method, digital image correlation (DIC) technique was used to obtain the strain distribution of the UD CFRP tendon specimen to determine the occurrence of local damage. The results of this investigation can be used to guide the establishment of the health monitoring mechanism for prestressed CFRP structures based on AE technology.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available