Feature analysis of metal fatigue damage process based on chaos and fractal theory

ZHANG Yuhua1 LI Xinxin2 HUANG Zhenfeng2 MAO Hanling2

Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (21) : 72-76.

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PDF(953 KB)
Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (21) : 72-76.

Feature analysis of metal fatigue damage process based on chaos and fractal theory

  • ZHANG Yuhua1  LI Xinxin2  HUANG Zhenfeng2  MAO Hanling2
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Abstract

To effectively extract the characteristics of crack extension and evolution in the process of fatigue damage, the chaos and fractal theory were presented to analyze the output signal of receiver in nonlinear ultrasonic system, the Lyapunov exponent, correlation dimension and K entropy evaluated the nonlinear characteristics of fatigue damage. The ultrasonic nonlinear output signals were gathered by the RAM-5000 system, chaos and fractal theory were used to analyze them and the Lyapunov exponent, correlation dimension and K entropy were calculated. The study showed that the ultrasonic nonlinear output signal of metal fatigue damage had chaotic characters; The Lyapunov exponent, correlation dimension and K entropy monotonously increased with fatigue damage, and reached stable when the macro cracks appeared. Chaotic characteristic values could effectively characterize the evolution of crack and fully reveal the nonlinearity of metal fatigue. Therefore the chaos and fractal theory could effectively extract the characteristics of crack extension and evolution in the process of fatigue damage, this provided a new analysis method for the fatigue life analysis based on the relationship between chaotic characteristic values and fatigue life.

Key words

nonlinear ultrasonic / fatigue damage / lyapunov exponent / correlation dimension / k entropy

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ZHANG Yuhua1 LI Xinxin2 HUANG Zhenfeng2 MAO Hanling2. Feature analysis of metal fatigue damage process based on chaos and fractal theory[J]. Journal of Vibration and Shock, 2017, 36(21): 72-76

References

[1] 万楚豪,刚铁,刘斌. 非线性超声脉冲反转法在铝合金焊缝疲劳寿命预测中的应用[J]. 焊接学报, 2015,(02): 27-30,34.
WAN Chu-hao, GANG Tie, LIU Bin. Nonlinear ultrasonic evaluation of fatigue life of aluminum alloy welded joint based on pulse-inversion technique[J]. Transactions of The China Welding Institution, 2015,(02): 27-30,34.
[2] Shah A A, Ribakov Y, Zhang C. Efficiency and sensitivity of linear and non-linear ultrasonics to identifying micro and macro-scale defects in concrete[J]. Materials & Design, 2013, 50: 905-916.
[3] Wu B, Yan B, He C. Nonlinear ultrasonic characterizing online fatigue damage and in situ microscopic observation[J]. Transactions of Nonferrous Metals Society of China, 2011, 21(12): 2597-2604.
[4] Shui G, Wang Y, Gong F. Evaluation of plastic damage for metallic materials under tensile load using nonlinear longitudinal waves[J]. NDT & E International, 2013, 55: 1-8.
[5] Matlack K H, Bradley H A, Thiele S, et al. Nonlinear ultrasonic characterization of precipitation in 17-4PH stainless steel[J]. NDT & E International, 2015, 71: 8-15.
[6] 陈振华,史耀武,赵海燕,等. 微小缺陷的非线性超声检测及其成像技术[J]. 声学学报(中文版), 2010, 35(01): 9-13.
CHEN Zhen-hua, SHI Yao-wu, ZHAO Hai-yan,et al. Nonlinear ultrasonic testing and imaging for tiny flaw[J]. Acta acustica (Chinese), 2010, 35(01): 9-13.
[7] 董雷. 基于混沌理论的非线性声学特性研究[D]. 哈尔滨: 哈尔滨工程大学, 2011.
DONG Lei. Study on characteristics of nonlinear ultrasonic based-on chaotic theory[D]. Harbin: Harbin engineering university, 2011.
[8] 王璐,王正,宋希庚,等. 基于分形理论的复杂应力状态下高温低周疲劳表面短裂纹行为研究[J]. 机械工程学报, 2011, 47(14): 49-53.
WANG Lu, WANG Zheng, SONG Xi-geng, et al. Study on behavior of surface short cracks for low cycle at high temperature and complex stress state based on fractal theory[J]. Journal of mechanical engineering, 2011, 47(14): 49-53.
[9] 孙自强. 基于混沌分形理论的大型风电机械故障诊断研究[D]. 沈阳工业大学, 2013: d, 114.
SUN Zi-qiang. Study on mechanical fault diagnosis of large-scale wind turbines based on chaos and fractal theory[D]. Shenyang University of Technology, 2013: doctor, 114.
[10] Takuma M, Shinke N, Nishiura T, et al. Acoustic emission
evaluation systems of tool life for shearing of piano and
stainless steel wires[J]. Journal of Acoustic Emission, 2006, 24.
[11] Wang L, Wang Z, Xie W, et al. Fractal study on collective
evolution of short fatigue cracks under complex stress conditions[J]. International Journal of Fatigue, 2012, 45: 1-7.
[12] 王魁. 基于分形理论的复杂应力状态下高温低周疲劳短裂纹群体行为研究[D]. 大连: 大连理工大学, 2011.
WANG Kui. Study on evolution behavior of short fatigue crack for low cycle at high temperature under complex stress state based on fractal theory[D]. Dalian: Dalian university of technology, 2011.
[13] 刘飞. 基于关联维数和Kolmogorov熵的转子振动故障模式判别[D]. 沈阳: 沈阳航空工业学院, 2009.
LIU Fei. Vibration fault mode determination for rotor based on correlation dimension and kolmogorov entropy[D]. Shenyang: Shenyang institute of aeronautical engineering, 2009.
[14] 邝文川. 基于非线性超声纵波的高温蠕变损伤检测与评价研究[D]. 上海:华东理工大学, 2011.
KUANG Wen-chuan. Ultrasonic testing and evaluation of creep damage based on nonlinear longitude wave technique[D]. Shanghai: East China University of Science and Technology, 2011.
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