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Application of ultra-weak FBG technology in real-time monitoring of landslide shear displacement.

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Title: Application of ultra-weak FBG technology in real-time monitoring of landslide shear displacement.
Authors: Han, Heming1 (AUTHOR), Shi, Bin1 (AUTHOR) shibin@nju.edu.cn, Zhang, Cheng-Cheng1 (AUTHOR), Sang, Hongwei1 (AUTHOR), Huang, Xingxing1 (AUTHOR), Wei, Guangqing2 (AUTHOR)
Source: Acta Geotechnica. May2023, Vol. 18 Issue 5, p2585-2601. 17p.
Subjects: Landslides, Fiber Bragg gratings, Shear (Mechanics), Computer terminals, Natural disaster warning systems, Shear strain, Shear zones
Geographic Terms: China
Abstract: Real-time monitoring of landslide shear displacements is important for early warning of landslide hazards. However, distributed and real-time monitoring of landslide displacements cannot be fully realized by using existing monitoring methods. In this work, a new strain-sensing optical cable based on ultra-weak Fiber Bragg Grating (UWFBG) technology was designed. Two computational models to convert measured cable strains to shear displacements were proposed. Furthermore, experiments were conducted to verify the models. The advantage of the UWFBG cable is its ease of installation. In particular, it can be installed in abandoned inclinometer casings to extend the lifespan of existing inclinometer boreholes. The UWFBG cable and the proposed deployment method were applied to the Majiagou landslide in the Three Gorges Reservoir (TGR) area in China. Distributed deformation data were collected and transmitted to a remote computer terminal in real time (6-min interval). The monitoring results show that two shear deformation zones of the landslide were successfully identified by the UWFBG cable. The proposed method based on the UWFBG technology provides a new means to achieve distributed, real-time monitoring of landslide shear displacements. [ABSTRACT FROM AUTHOR]
Copyright of Acta Geotechnica is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Application of ultra-weak FBG technology in real-time monitoring of landslide shear displacement.
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  Data: <searchLink fieldCode="JN" term="%22Acta+Geotechnica%22">Acta Geotechnica</searchLink>. May2023, Vol. 18 Issue 5, p2585-2601. 17p.
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  Data: <searchLink fieldCode="DE" term="%22Landslides%22">Landslides</searchLink><br /><searchLink fieldCode="DE" term="%22Fiber+Bragg+gratings%22">Fiber Bragg gratings</searchLink><br /><searchLink fieldCode="DE" term="%22Shear+%28Mechanics%29%22">Shear (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+terminals%22">Computer terminals</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+disaster+warning+systems%22">Natural disaster warning systems</searchLink><br /><searchLink fieldCode="DE" term="%22Shear+strain%22">Shear strain</searchLink><br /><searchLink fieldCode="DE" term="%22Shear+zones%22">Shear zones</searchLink>
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  Label: Abstract
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  Data: Real-time monitoring of landslide shear displacements is important for early warning of landslide hazards. However, distributed and real-time monitoring of landslide displacements cannot be fully realized by using existing monitoring methods. In this work, a new strain-sensing optical cable based on ultra-weak Fiber Bragg Grating (UWFBG) technology was designed. Two computational models to convert measured cable strains to shear displacements were proposed. Furthermore, experiments were conducted to verify the models. The advantage of the UWFBG cable is its ease of installation. In particular, it can be installed in abandoned inclinometer casings to extend the lifespan of existing inclinometer boreholes. The UWFBG cable and the proposed deployment method were applied to the Majiagou landslide in the Three Gorges Reservoir (TGR) area in China. Distributed deformation data were collected and transmitted to a remote computer terminal in real time (6-min interval). The monitoring results show that two shear deformation zones of the landslide were successfully identified by the UWFBG cable. The proposed method based on the UWFBG technology provides a new means to achieve distributed, real-time monitoring of landslide shear displacements. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Acta Geotechnica is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11440-022-01742-y
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 2585
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      – SubjectFull: Landslides
        Type: general
      – SubjectFull: Fiber Bragg gratings
        Type: general
      – SubjectFull: Shear (Mechanics)
        Type: general
      – SubjectFull: Computer terminals
        Type: general
      – SubjectFull: Natural disaster warning systems
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      – SubjectFull: Shear strain
        Type: general
      – SubjectFull: Shear zones
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Application of ultra-weak FBG technology in real-time monitoring of landslide shear displacement.
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            NameFull: Han, Heming
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            NameFull: Shi, Bin
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            NameFull: Zhang, Cheng-Cheng
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            NameFull: Sang, Hongwei
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            – D: 01
              M: 05
              Text: May2023
              Type: published
              Y: 2023
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