Chinese Journal of Lasers, Volume. 48, Issue 13, 1306003(2021)

Fatigue Crack Prediction Method for Aluminum Alloy Based on Fiber Bragg Grating Array

Lingyu Sun, Changchao Liu, Mingshun Jiang, Lei Zhang, Faye Zhang, Qingmei Sui*, and Lei Jia
Author Affiliations
  • School of Control Science and Engineering, Shandong University, Jinan, Shandong 250061, China
  • show less
    Figures & Tables(22)
    Flow chart of fatigue crack prediction based on FBG
    Component size diagram
    Strain field nephograms at different stages of crack propagation. (a) Crack initiation; (b) initial crack propagation; (c) steady crack propagation; (d) crack approaching failure
    Fatigue crack growth monitoring experimental system based on FBG
    Overall schematic diagram of FBG demodulation system
    Fatigue tensile results of samples 1--4
    Schematic diagram of FBG sensor array
    Actual pasting position of FBG sensor array
    Fitting result of fatigue extension a-N curve
    Wavelength change measured by sensor FBG1
    Relationship between peak-to-peak wavelength and cyclic loading times
    Relationship between peak-to-peak wavelength and crack length
    Tensile results of aluminum alloy sample 5
    Principle diagram of GBRT
    Principle of 5-fold cross-verification
    Prediction result of GBRT algorithm
    • Table 1. Material properties of simulation experiment

      View table

      Table 1. Material properties of simulation experiment

      ParameterValue
      Density /(kg·m-3)2700
      Young’s modulus /MPa69
      Poisson’s ratio0.33
      Max principal stress /MPa84.4
      Coefficient of damage viscosity0.0001
    • Table 2. Results of fatigue tensile test

      View table

      Table 2. Results of fatigue tensile test

      Number123456789
      Cycle /10403.03.54.04.55.05.56.06.1
      Crack length /mm02.22.63.14.46.27.813.321.0
    • Table 3. Evaluation indexes of fitting curve

      View table

      Table 3. Evaluation indexes of fitting curve

      Evaluation indexSSEMAEMSER2
      Value0.08200.07130.03580.9912
    • Table 4. 5-fold cross-validation results of GBRT model

      View table

      Table 4. 5-fold cross-validation results of GBRT model

      Model01234
      GBRT-0.486222-0.279238-0.402655-0.632112-4.465716
    • Table 5. Regression performance evaluation results of GBRT model

      View table

      Table 5. Regression performance evaluation results of GBRT model

      ModelEVMAEMSER2
      GBRT0.9999470.0186830.0006990.999935
    • Table 6. Regression performance evaluation results of model

      View table

      Table 6. Regression performance evaluation results of model

      ModelEVMAEMSER2
      Linear0.9997430.0342500.0027710.999743
      SVR0.9996700.0611970.0045680.999577
      GBRT0.9999470.0186830.0006990.999935
    Tools

    Get Citation

    Copy Citation Text

    Lingyu Sun, Changchao Liu, Mingshun Jiang, Lei Zhang, Faye Zhang, Qingmei Sui, Lei Jia. Fatigue Crack Prediction Method for Aluminum Alloy Based on Fiber Bragg Grating Array[J]. Chinese Journal of Lasers, 2021, 48(13): 1306003

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: fiber optics and optical communications

    Received: Nov. 13, 2020

    Accepted: Jan. 11, 2021

    Published Online: Jul. 1, 2021

    The Author Email: Sui Qingmei (qmsui@sdu.edu.cn)

    DOI:10.3788/CJL202148.1306003

    Topics