Time-variant probabilistic random degradation model on flexural capacity of road tunnel linings.

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Title: Time-variant probabilistic random degradation model on flexural capacity of road tunnel linings.
Authors: Han, Xingbo1 (AUTHOR), Gao, Kang2 (AUTHOR), Ye, Fei1 (AUTHOR), Han, Xin1 (AUTHOR)
Source: Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance. Sep2021, Vol. 17 Issue 9, p1175-1193. 19p.
Subjects: Tunnel lining, Tunnels, Gaussian distribution, Blood group incompatibility, Simulation methods & models, Bond strengths
Abstract: A time-variant random degradation model for assessing the flexural capacity of tunnel lining is proposed. By using the double reinforced beam model, the governing equation of moment capacity for tunnel lining is established with the consideration of the reduction of the steel area and the concrete-steel bond strength. Moreover, both carbonation penetration and chloride corrosion of lining are incorporated in this model. Then the theoretical formulations are used to obtain the probabilistic time-dependent flexural capacity responses of tunnel lining. To further optimise the target model, the global sensitivity analysis approach is employed to search the critical parameters. Additionally, applicability, accuracy, and efficiency of the proposed approach are rigorously investigated by comparing the probabilistic information of the capacity degradation model with that of Monte-Carlo simulation method from practically motivated examples. Finally, time-variant probabilistic features of lining flexural capacity are systematically studied, and the numerical results showed that the tension bars are hard to reach its yield strength when considering the deformation incompatibility caused by rust formation. The moment capacity follows the normal distribution for both normal and lognormal distributed lining thickness during all its life cycle. [ABSTRACT FROM AUTHOR]
Copyright of Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance is the property of Taylor & Francis Ltd 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.)
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DbLabel: Engineering Source
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  Data: Time-variant probabilistic random degradation model on flexural capacity of road tunnel linings.
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  Data: <searchLink fieldCode="DE" term="%22Tunnel+lining%22">Tunnel lining</searchLink><br /><searchLink fieldCode="DE" term="%22Tunnels%22">Tunnels</searchLink><br /><searchLink fieldCode="DE" term="%22Gaussian+distribution%22">Gaussian distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+group+incompatibility%22">Blood group incompatibility</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Bond+strengths%22">Bond strengths</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A time-variant random degradation model for assessing the flexural capacity of tunnel lining is proposed. By using the double reinforced beam model, the governing equation of moment capacity for tunnel lining is established with the consideration of the reduction of the steel area and the concrete-steel bond strength. Moreover, both carbonation penetration and chloride corrosion of lining are incorporated in this model. Then the theoretical formulations are used to obtain the probabilistic time-dependent flexural capacity responses of tunnel lining. To further optimise the target model, the global sensitivity analysis approach is employed to search the critical parameters. Additionally, applicability, accuracy, and efficiency of the proposed approach are rigorously investigated by comparing the probabilistic information of the capacity degradation model with that of Monte-Carlo simulation method from practically motivated examples. Finally, time-variant probabilistic features of lining flexural capacity are systematically studied, and the numerical results showed that the tension bars are hard to reach its yield strength when considering the deformation incompatibility caused by rust formation. The moment capacity follows the normal distribution for both normal and lognormal distributed lining thickness during all its life cycle. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance is the property of Taylor & Francis Ltd 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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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/15732479.2020.1801766
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1175
    Subjects:
      – SubjectFull: Tunnel lining
        Type: general
      – SubjectFull: Tunnels
        Type: general
      – SubjectFull: Gaussian distribution
        Type: general
      – SubjectFull: Blood group incompatibility
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Bond strengths
        Type: general
    Titles:
      – TitleFull: Time-variant probabilistic random degradation model on flexural capacity of road tunnel linings.
        Type: main
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          Name:
            NameFull: Han, Xingbo
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            NameFull: Gao, Kang
      – PersonEntity:
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            NameFull: Ye, Fei
      – PersonEntity:
          Name:
            NameFull: Han, Xin
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          Dates:
            – D: 01
              M: 09
              Text: Sep2021
              Type: published
              Y: 2021
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              Value: 17
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              Value: 9
          Titles:
            – TitleFull: Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance
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