• Laser & Optoelectronics Progress
  • Vol. 58, Issue 16, 1610002 (2021)
Qiongying Kong1、2, Bo Ye1、2、*, Weiquan Deng3, Chen Chen1、2, and Danhong Wang1、2
Author Affiliations
  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
  • 2Yunnan Key Laboratory of Artificial Intelligence, Kunming, Yunnan 650500, China
  • 3Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
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    DOI: 10.3788/LOP202158.1610002 Cite this Article Set citation alerts
    Qiongying Kong, Bo Ye, Weiquan Deng, Chen Chen, Danhong Wang. Probability-Based Diagnostic Imaging Method of Fatigue Damage for Carbon Fiber Reinforced Plastic Based on ToF Damage Factor[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610002 Copy Citation Text show less
    Schematic diagram of the relative distance
    Fig. 1. Schematic diagram of the relative distance
    Flow chart of the probability-based diagnostic imaging method
    Fig. 2. Flow chart of the probability-based diagnostic imaging method
    Schematic diagram and physical diagram of the specimen. (a) Schematic diagram;(b) physical diagram
    Fig. 3. Schematic diagram and physical diagram of the specimen. (a) Schematic diagram;(b) physical diagram
    Time domain and frequency domain diagrams of the excitation signal. (a) Time domain diagram; b) frequency domain diagram
    Fig. 4. Time domain and frequency domain diagrams of the excitation signal. (a) Time domain diagram; b) frequency domain diagram
    Diagram of the damage scattered signal
    Fig. 5. Diagram of the damage scattered signal
    Hilbert transform modulus graph of the damage scattered signal
    Fig. 6. Hilbert transform modulus graph of the damage scattered signal
    Parameters of different damage factors. (a) Cross correlation damage factor; (b) energy damage factor; (c) ToF damage factor
    Fig. 7. Parameters of different damage factors. (a) Cross correlation damage factor; (b) energy damage factor; (c) ToF damage factor
    Probability-based diagnostic imaging results under different cycles. (a) Cross correlation damage factor; (b) energy damage factor; (c) ToF damage factor
    Fig. 8. Probability-based diagnostic imaging results under different cycles. (a) Cross correlation damage factor; (b) energy damage factor; (c) ToF damage factor
    X-ray images of CFRP fatigue damage at different fatigue cycles. (a) L=10000; (b) L=70000; (c) L=90000
    Fig. 9. X-ray images of CFRP fatigue damage at different fatigue cycles. (a) L=10000; (b) L=70000; (c) L=90000
    Probability-based diagnostic imaging results under different cycles (threshold is 0.75). (a) Cross correlation damage factor; (b) energy damage factor; (c) ToF damage factor
    Fig. 10. Probability-based diagnostic imaging results under different cycles (threshold is 0.75). (a) Cross correlation damage factor; (b) energy damage factor; (c) ToF damage factor
    PZT numberCoordinates /mmPZT numberCoordinates /mm
    1(128,202.5)7(25, 51)
    2(109,202.5)8(44, 51)
    3(90,202.5)9(63, 51)
    4(64,202.5)10(89, 51)
    5(45,202.5)11(108, 51)
    6(26,202.5)12(127, 51)
    Table 1. Position coordinates of different PZT
    Fatigue cycle numberQuantitative indicatorsDCiDEiDTi
    10000actual damage area/cm28.248.248.24
    imaging damage area/cm252.4953.0327.87
    error5.3705.4362.382
    error percentage/%55.6456.18-
    70000actual damage area/cm215.8215.8215.82
    imaging damage area/cm251.9559.0033.21
    error2.2842.7291.100
    error percentage/%51.8459.69-
    90000actual damage area/cm218.6318.6318.63
    imaging damage area/cm255.7858.4537.24
    error1.9942.1371.000
    error percentage/%49.8553.21-
    Table 2. Probability-based diagnostic imaging results of different damage factors
    Qiongying Kong, Bo Ye, Weiquan Deng, Chen Chen, Danhong Wang. Probability-Based Diagnostic Imaging Method of Fatigue Damage for Carbon Fiber Reinforced Plastic Based on ToF Damage Factor[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610002
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