Fatigue damage characterization of carbon fiber reinforced polymer bridge cables:Wavelet transform a

来源 :Science China Technological Sciences | 被引量 : 0次 | 上传用户:yzl1983523
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Carbon fiber reinforced polymer(CFRP)has many remarkable merits.It is lightweight and has great rigidity and high intensity. High-durability cable produced from CFRP as reinforcement material is widely used in bridge construction projects.However, there is a dearth of studies regarding damage types and mechanism under fatigue load of CFRP bridge cables.In this paper,we adopt acoustic emission(AE)technology to monitor fatigue damage and failure of the CFRP bridge cables,specifically by monitoring the bridge cable’s fatigue test process and using wavelet transformation to analyze data.Results show that damage on the CFRP cable is divided into three stages.Based on wavelet singularity theory,in each stage of AE,the burst signal is obtained and its time-frequency distribution is achieved through wavelet analysis.According to the analysis results,failure modes in each phase and type of acoustic emission source are easy to determine.The characteristics of waveform,types of damages, and frequency distribution of CFRP bridge cable in different damage phases are collected.Research shows that the method used to determine the types of fatigue damage on the CFRP cable is feasible according to the range of distribution characteristic parameters for acoustic emission signal and type of waveform. High-durability cable produced from CFRP as reinforcement material is widely used in bridge construction projects. If you have a difficult problem damage types and mechanism under fatigue load of CFRP bridge cables. In this paper, we adopt acoustic emission (AE) technology to monitor fatigue damage and failure of the CFRP bridge cables, specifically by monitoring the bridge cable’s fatigue test process and using wavelet transformation to analyze data. Results show that damage on the CFRP cable is divided into three stages. Based on wavelet singularity theory, in each stage of AE, the burst signal is obtained and its time-frequency distribution is achieved through wavelet analysis. According to the analysis results, failure modes in each phase and type of acoustic emission source are easy to determine. characteristics of waveform, types of damages, and fre quency distribution of CFRP bridge cable in different damage phases are collected. Research shows that the method used to determine the types of fatigue damage on the CFRP cable is feasible according to the range of distribution characteristic parameters for acoustic emission signal and type of waveform.
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