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Author:

Zhang, Qiang (Zhang, Qiang.) | Lu, Zhaohui (Lu, Zhaohui.) | Zhao, Ran (Zhao, Ran.) | Lun, Peiyuan (Lun, Peiyuan.)

Indexed by:

EI Scopus CSCD CSSCI

Abstract:

In this paper, the prediction model of rust expansion time of concrete structures with the consideration of initial defects is established based on the theory of fracture mechanics. The limit state function of structure life prediction is established and an analysis method of time-dependent reliability based on three-order moment method is developed. The results show that compared with Monte-Carlo method, this method reduces the calculation time and improves the analysis efficiency when the calculated results are more consistent with each other. Among the parameters of concrete materials, the failure probability of concrete structure is the most sensitive to the randomness and uncertainty of cover thickness and less sensitive to the probability distribution type of random variables. © 2020, Shanghai Jiao Tong University Press. All right reserved.

Keyword:

Concrete buildings Reliability analysis Concretes Fracture mechanics Monte Carlo methods Probability distributions Predictive analytics Defects Method of moments Concrete construction

Author Community:

  • [ 1 ] [Zhang, Qiang]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhang, Qiang]School of Civil Engineering, Central South University, Changsha; 410075, China
  • [ 3 ] [Lu, Zhaohui]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Lu, Zhaohui]School of Civil Engineering, Central South University, Changsha; 410075, China
  • [ 5 ] [Zhao, Ran]School of Civil Engineering, Central South University, Changsha; 410075, China
  • [ 6 ] [Lun, Peiyuan]School of Civil Engineering, Central South University, Changsha; 410075, China

Reprint Author's Address:

  • [lun, peiyuan]school of civil engineering, central south university, changsha; 410075, china

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Source :

Journal of Shanghai Jiaotong University

ISSN: 1006-2467

Year: 2020

Issue: 4

Volume: 54

Page: 413-420

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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