Infrared and Laser Engineering, Volume. 53, Issue 5, 20230712(2024)

Tunnel damage detection based on finite element simulation and optical fiber sensing

Tianying Chang1, Xing Chen1, Miao Yu2,3, and Hongliang Cui1、*
Author Affiliations
  • 1Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
  • 2Zhuhai Pegasus Optoelectronics Technology Co., Ltd., Zhuhai 519000, China
  • 3School of Electronic Information Engineering, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528402, China
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    Figures & Tables(22)
    Finite element model of lining ring (a) and reinforcement (b)
    Static analysis finite element model (a), model meshing (b) and geostress equilibrium displacement nephogram (c)
    Tunnel Mises equivalent stress nephogram (a) and displacement nephogram (b)
    The first nine order results of modal analysis
    Overall model (a) and tunnel (b) acceleration nephogram
    The acceleration curve of the tunnel at eight clock
    Fiber optic grating displacement meter (a) and its installation schematic diagram (b)
    Fiber optic grating surface-patch strain meter (a) and its installation schematic diagram (b)
    Distributed fiber optic vibration sensing system, sensing optical cable and software interface
    Sensing optical cable display schematic diagram in the tunnel
    Verification point location schematic diagram
    The reading of fiber optic grating displacement meter on A point of section S1
    The reading of fiber optic grating displacement meter on A point of section S2
    The reading of fiber optic grating displacement meter on A point of section S3
    Crush damage radar maps of three sections in working condition A
    Pulling damage radar maps of three sections in working condition A
    Crush damage radar maps of three sections in working condition B
    Pulling damage radar maps of three sections in working condition B
    • Table 1. Mohr-Coulomb constitutive model parameters

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      Table 1. Mohr-Coulomb constitutive model parameters

      Soil layerDensity/kg·m−3Elasticity modulus/ MPaInternal friction angle/ (°)Dilatancy angle/ (°)Cohesion/ MPaPoisson's ratioThickness/ m
      Filling17005----1.20-3.40
      Clay (1st layer)17701412.570.0450.420.60-5.90
      Clay (2nd layer)19401417.512.50.0450.351.60-5.80
      Silty clay (1st layer)19201317.512.50.0360.252.10-5.70
      Silty clay (2nd layer)18601319.513.50.0160.355.40-10.00
      Silty clay (3rd layer)18501417.5130.0170.33.60-16.90
      Silt19402433300.0060.25-
      Clay19101315.5130.0450.252.70-7.50
    • Table 2. CDP constitutive model parameters of concrete

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      Table 2. CDP constitutive model parameters of concrete

      Concrete gradeDensity/kg·m-3Elasticity modulus/MPaExpansion angle/ (°)Eccentricity ratioRatio of biaxial to uniaxial compressive strength fb0/fc0Yield surface parameter KViscosity coefficient
      C502 600345310.11.160.6710−5
    • Table 3. Johnson-Cook constitutive model parameters of reinforcement

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      Table 3. Johnson-Cook constitutive model parameters of reinforcement

      Density/kg·m-3Elasticity modulus/GPaPoisson's ratioInitial yield stress A/MPaHardening factor B/MPaHardening exponent NStrain rate coefficient CStrain rate/ s−1
      7 8002100.303756000.070.0950
    • Table 4. The comparison between the displacement from sensor and the simulated strain on point A

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      Table 4. The comparison between the displacement from sensor and the simulated strain on point A

      SectionParameters (2022-10-10T20:07:52)S1S2S3
      Fiber optic gratingDisplacement2.301.90 2.00
      Multiple relation1.211.001.05
      Finite element simulationStrain1.45 e−31.04 e−31.19 e−3
      Multiple relation1.391.001.14
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    Tianying Chang, Xing Chen, Miao Yu, Hongliang Cui. Tunnel damage detection based on finite element simulation and optical fiber sensing[J]. Infrared and Laser Engineering, 2024, 53(5): 20230712

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    Paper Information

    Category: Optical communication and sensing

    Received: Jan. 23, 2024

    Accepted: --

    Published Online: Jun. 21, 2024

    The Author Email: Hongliang Cui (hl.cui@siat.ac.cn)

    DOI:10.3788/IRLA20230712

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