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author:

Ye, Xinyi (Ye, Xinyi.) [1] | Li, Quanwang (Li, Quanwang.) [2] | Zhang, Hao (Zhang, Hao.) [3]

Indexed by:

EI

Abstract:

For marine reinforced concrete (RC) structures under chloride-attack, the risks of member surface damage can be evaluated using random field analysis method, considering the spatial variations of durability parameters. However, the random field analysis method requires high computational cost and advanced skills, and is not feasible for engineering practice. Recognizing this difficulty, a simplified method is proposed in this paper based on the statistical characteristics of time to corrosion initiation and surface damage. The new method establishes the mappings between the probabilities of member surface damage and the probability (or reliability index) of corrosion initiation at the same age. Thus, engineers and decision-makers can estimate the risk of surface damage through reliability index of corrosion initiation, with the latter can be obtained relatively easily. Probabilistic analysis for the durability performance of a RC slab serviced in marine environment is performed to demonstrate the method. The accuracy of the proposed method is examined through the comparison with the random field simulation method and experimental results in literature. © 2022 Elsevier Ltd

Keyword:

Chlorine compounds Concrete buildings Concrete construction Corrosion Damage detection Durability Reinforced concrete Reliability analysis Risk assessment Risk perception

Community:

  • [ 1 ] [Ye, Xinyi]College of Civil Engineering, Fuzhou University, Fuzhou; 350100, China
  • [ 2 ] [Li, Quanwang]Department of Civil Engineering, Tsinghua University, Beijing; 100084, China
  • [ 3 ] [Zhang, Hao]School of Civil Engineering, University of Sydney, Sydney; NSW; 2006, Australia

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Source :

Structural Safety

ISSN: 0167-4730

Year: 2022

Volume: 99

5 . 8

JCR@2022

5 . 7 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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