1. College of Mechanical Engineering,Guangxi University, Nanning 530004;
2. College of Automobile and Transportation, Guangxi University of Science and Technology,Liuzhou542506；
3.Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha University of Science and Technology, Changsha 410004
It is a basic and hot issue that how to deepen the understanding of the acoustic emission signals during metal fatigue damage. A great amount of the acoustic emission were produced with the metal fatigue damage including four stages: the crack initiation stage, slow crack propagation stage, rapid crack propagationstage and the approaching failure stage, massive acoustic emission signals were analyzed by using the Kolmogorov entropy and correlation dimension. The acoustic emission signals were obtained by monitoring the experiment of three-point bending specimen of 45 steel. According to the recorded experimental data, the Kolmogorov entropy and correlation dimension of the acoustic emission signal at different periods were calculated. It were demonstrated that chaotic phenomena exists in acoustic emission signal of the metal fatigue damage, and there are good relationships between the evolution of the two chaotic characteristics and the four stages of metal fatigue damage. It was also demonstrated that the dynamic characteristics during metal fatigue damage can be revealed by Kolmogorov entropy and correlation dimension. It is a new idea for online monitoring and prediction of fatigue damage by analyzing the acoustic emission signal.
黄振峰1 刘永坚1毛汉颖2 王向红3 李欣欣1毛汉领1. 基于K熵和关联维数的金属疲劳损伤过程的声发射信号特征分析[J]. 振动与冲击, 2017, 36(15): 210-214.
HUANG Zhenfeng1LIU Yongjian1MAO Hanying2WANG Xianghong3LI Xinxin1MAO Hanling1. The acoustic emission characteristics analysis of metal fatigue damage based on Kolmogorov entropy and correlation dimension. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(15): 210-214.
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