[1] Ferreira L, Murray M H. Modelling rail track deterioration and maintenance: Current practices and future needs[J]. Transport Reviews, 1997, 17(3): 207-221.

[2] Clark R. Rail flaw detection: Overview and needs for future developments[J]. NDT & E International, 2004, 37(2): 111-118.

[3] Schoech W. Combating rail surface fatigue in Europe by head check grinding[J]. Rail Engineering International, 2004, 33(1): 6-8.

[4] Yang J, Ume I C. Laser ultrasonic technique for evaluating solder bump defects in flip chip packages using modal and signal analysis methods[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2010, 57(4): 920-932.

[5] Wooh S C, Wang J. Laser ultrasonic detection of rail defects[J]. AIP Conference Proceedings, 2002, 615(1): 1819-1826.

[6] 赵扬, 刘帅, 马健, 等. 混合式激光超声技术的钢轨轨头疲劳损伤无损检测研究与应用[J]. 中国激光, 2014, 41(s1): s108008.

    Zhao Y, Liu S, Ma J, et al. Investigation and application of laser-EMAT testing fatigue damage of railhead[J]. Chinese Journal of Lasers, 2014, 41(s1): s108008.

[7] Pantano A, Cerniglia D. Simulation of laser generated ultrasound with application to defect detection[J]. Applied Physics A, 2008, 91(3): 521-528.

[8] Pantano A, Cerniglia D. Simulation of laser-generated ultrasonic wave propagation in solid media and air with application to NDE[J]. Applied Physics A, 2010, 98(2): 327-336.

[9] Wang J, Feng Q B. Residual stress determination of rail tread using a laser ultrasonic technique[J]. Laser Physics, 2015, 25(5): 056104.

[10] Zhong Y J, Gao X R, Luo L, et al. Simulation of laser ultrasonics for detection of surface-connected rail defects[J]. Journal of Nondestructive Evaluation, 2017, 36: 70.

[11] 李海洋, 李巧霞, 王召巴, 等. 圆管构件螺纹处缺陷的激光超声定位检测[J]. 激光与光电子学进展, 2018, 55(10): 101202.

    Li H Y, Li Q X, Wang Z B, et al. Positioning detection of defects in thread of tubular member by laser ultrasonic[J]. Laser & Optoelectronics Progress, 2018, 55(10): 101202.

[12] 李海洋, 李巧霞, 王召巴, 等. 基于激光超声临界频率的表面缺陷检测与评价[J]. 光学学报, 2018, 38(7): 0712003.

    Li H Y, Li Q X, Wang Z B, et al. Detection and evaluation of surface defects based on critical frequency method by laser ultrasonic[J]. Acta Optica Sinica, 2018, 38(7): 0712003.

[13] 孙凯华, 沈中华, 李远林, 等. 材料内部缺陷的激光超声反射横波双阴影检测方法[J]. 中国激光, 2018, 45(7): 0710001.

    Sun K H, Shen Z H, Li Y L, et al. Inspection of material internal defects using double shadow method based on laser ultrasonic reflected shear waves[J]. Chinese Journal of Lasers, 2018, 45(7): 0710001.

[14] 李俊燕, 沈中华, 倪晓武, 等. 基于合成孔径聚焦技术的激光超声无损检测方法研究[J]. 中国激光, 2018, 45(9): 0904003.

    Li J Y, Shen Z H, Ni X W, et al. Laser-ultrasonic non-destructive detection based on synthetic aperture focusing technique[J]. Chinese Journal of Lasers, 2018, 45(9): 0904003.

[15] 沈中华, 袁玲, 张宏超, 等. 固体中的激光超声[M]. 北京: 人民邮电出版社, 2015: 57- 58.

    Shen ZH, YuanL, Zhang HC, et al.Laser ultrasound in solids[M]. Beijing: Post & Telecom Press, 2015: 57- 58.

[16] Mineo C, Cerniglia D, Pantano A. Numerical study for a new methodology of flaws detection in train axles[J]. Ultrasonics, 2014, 54(3): 841-849.

[17] Pantano A, Cerniglia D. Simulation of laser generated ultrasound with application to defect detection[J]. Applied Physics A, 2008, 91(3): 521-528.

[18] Ni C, Dong L, Shen Z, et al. Numerical simulation study of defect detections by using laser array generated giant acoustic waves[J]. International Journal of Thermophysics, 2015, 36(5/6): 1236-1243.