Data-driven deformation reliability of retaining structures in deep excavations considering measurement error

Li Xu, Yang Xu, Cao Wang, Kairui Feng

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)


The deflections of retaining structures during deep excavation should be controlled below a predefined threshold in an attempt to mitigate the deformation-posed damage to the surrounding buildings and infrastructure facilities. In this paper, a new approach is presented to conducting deformation reliability assessments of retaining structures. The method is based on an extension of the classical first-passage reliability problem and is applied on the spatial scale of the retaining structures. With the proposed method, the in situ monitoring data and the associated measurement error can be easily incorporated, which accordingly improves the assessment accuracy. Moreover, the proposed method has a closed-form solution, which is beneficial for the computation efficiency and its practical application. The method was applied to assess the retaining structure reliability in a foundation excavation of a subway station in Fuzhou, China. The accuracy of the analytical results was verified through a comparison with those of Monte Carlo simulation. It was shown that the proposed method can represent well, the deformation-based safety level of retaining structures.

Original languageEnglish
Article number5466
Number of pages16
JournalApplied Sciences
Issue number24
Publication statusPublished - 2 Dec 2019


  • Deep excavation
  • Deformation reliability
  • Measurement error
  • Monitored data
  • Retaining structures
  • Safety assessment

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