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| 1 | Fatigue damage characterization of carbon fiber reinforced polymer bridge cables:Wavelet transform analysis for clustering acoustic emission data显示文摘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. | LI DongSheng HU Qian OU JinPing LI Hui | 2011 | Science China(Technological Sciences)2011，54，2： | 9 |
| 2 | 碳纤维复合材料损伤识别的AE频响分析方法显示文摘为了深入理解树脂基碳纤维复合材料的损伤发生和演化规律,制作了三种不同铺层的中心开孔的拉伸试样和一种用于测试层裂的拉伸试样,应用声发射技术全程监测拉伸试验。试验结果分析表明,声发射信号的峰值频率能有效的识别复合材料的各种损伤模式。对在试验过程中采集的声发射信号进行希尔伯特-黄变换,可以有效的分离隐含于声发射信号中的复合材料各种损伤模式,为声发射技术应用于实际复合材料结构的安全监测提供有效方法。 | 韩文钦 顾爱军 | 2016 | 淮阴工学院学报2016，25，1： | 2 |
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