[1]国家质量技术监督局. GB/T 6398-2000金属材料疲劳裂纹扩展速率试验方法[S]. 北京:中国标准出版社,2001.
[2]British Standards Institution. ISO12108 Metallic Materials-Fatigue Testing-Fatigue Crack Growth Method[S]. UK: International Standard, 2002.
[3]Verstraete M A,Hertele S, Denys R M, et al.Evaluation and Interpretation of Ductile Crack Extension in SENT Specimens Using Unloading Compliance Technique[J]. Engineering Fracture Mechanics, 2014, 115: 190-203.
[4]李光海,刘正义.基于声发射技术的金属高频疲劳监测[J].中国机械工程,2004,18(7):1205-1209.
Li Guanghai,Liu Zhengyi. Inspection of Metal High Frequency Cyclic Fatigue Behavior Utilizing Acoustic Emission Technique[J]. China Mechanical Engineering, 2004, 18(7): 1205-1209.
[5]Antonaci P, Bocca P, Masera D.Fatigue Crack Propagation Monitoring by Acoustic Emission Signal Analysis[J]. Engineering Fracture Mechanics, 2012, 81: 26-32.
[6]Yasumoto S, Naomi K, Natsuki O, et al.Automated Visualization of Surface Morphology of Cracks by Means of Induced Current Potential Drop Technique[J]. NDT&E International, 2012, 49: 83-89.
[7]王亮,黄新跃,郭广平.直流电位法检测高温合金的疲劳裂纹扩展性能[J].理化检验(物理分册),2011,47(8):480-483.
Wang Liang, Huang Xinyue, Guo Guangping. Fatigue Crack Growth Behavior of Superalloy Detected by High Temperature Direct Current Potential Drop Method[J].PTCA(Part A:Phys. Test.), 2011, 47(8): 480-483.
[8]孙建平,胡英成,王逢瑚,等.基于图像处理的木材断裂面分形分析[J].仪器仪表学报,2013, 34(12): 2818-2823.
Sun Jianping,Hu Yingcheng, Wang Fenghu, et al. Fractional Analysis of Wood Fracture Surface Based on Image Processing[J]. Chinese Journal of Scientific Instrument, 2013, 34(12): 2818-2823.
[9]杨永敏,樊继壮,赵杰. 强反射表面缺陷图像预处理[J].光学精密工程,2010,18(10):2288-2296.
Yang Yongmin, Fan Jizhuang, Zhao Jie. Preprocessing for Highly Reflective Surface Defect Image[J].Optics and Precision Engineering, 2010, 18(10):2288-2296.
[10]Valena J, Dias-da-Costa D, Julio E, et al.Automatic Crack Monitoring Using Photogrammetry and Image Processing[J].Measurement, 2013, 46(1): 433-441.
[11]Yang Yuansen, Yang Chuangming, Huang Changwei.Thin Crack Observation in a Reinforced Concrete Bridge Pier Test Using Image Processing and Analysis[J].Advances in Engineering Software, 2015, 83: 99-108.
[12]周见行,高红俐,齐子诚,等.基于摄像头自动跟踪定位的疲劳裂纹在线测量方法研究[J].中国机械工程,2011,22(11):1302-1306.
Zhou Jianxing, Gao Hongli, Qi Zicheng, et al. Study on On-line Measurement Method of Fatigue Crack Length Based on Camera Automatically Tracking and Positioning[J]. China Mechanical Engineering,2011, 22(11): 1302-1306.
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