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author:

Xu, L. (Xu, L..) [1] | Xu, Y. (Xu, Y..) [2] | Wang, C. (Wang, C..) [3] | Feng, K. (Feng, K..) [4]

Indexed by:

Scopus

Abstract:

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. © 2019 by the authors.

Keyword:

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

Community:

  • [ 1 ] [Xu, L.]College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, 35018, China
  • [ 2 ] [Xu, Y.]College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, 35018, China
  • [ 3 ] [Wang, C.]College of Civil Engineering, Fuzhou University, Fuzhou, Fujian, 35018, China
  • [ 4 ] [Wang, C.]School of Civil Engineering, The University of Sydney, Sydney, NSW 2006, Australia
  • [ 5 ] [Wang, C.]Department of Civil Engineering, Monash University, Clayton, VIC 3800, Australia
  • [ 6 ] [Feng, K.]Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08540, United States

Reprint 's Address:

  • [Wang, C.]College of Civil Engineering, Fuzhou UniversityChina

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Source :

Applied Sciences (Switzerland)

ISSN: 2076-3417

Year: 2019

Issue: 24

Volume: 9

2 . 2 1 7

JCR@2018

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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