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Author:

Li, S.L. (Li, S.L..) | Xu, Y. (Xu, Y..) | Li, H. (Li, H..) | Yan, W.M. (Yan, W.M..) (Scholars:闫维明)

Indexed by:

EI Scopus

Abstract:

This paper presents a long-term condition assessment approach of cables under in-service loads collected by SHM system. For the cables of the bridge, the stochastic axial force response can be collected by the SHM system and described by a filtered Poisson process, through which the maximum value distribution of axial forces in its design reference period can be derived using Poisson Process theory. The long-term deterioration process of steel wires in the cables considers simultaneously the uniform and pitting corrosion due to environmental attack and the fatigue propagation induced by cyclic stress. By employing first order reliability method, the reliability of the cables under the monitored responses is further estimated in terms of the safety under the extreme traffic load distribution in the design reference period and the serviceability specified in the design specification. The discussions of the lifecycle condition assessment of the cable stayed bridge provide guidance to the future decision making related to maintenance and replacement.

Keyword:

Poisson distribution Pitting Engineering geology Geophysics Bridge cables Axial flow Deterioration Steel corrosion Earthquake engineering Life cycle Stochastic systems Decision making Cable stayed bridges

Author Community:

  • [ 1 ] [Li, S.L.]School of Transportation Science and Engineering, Harbin Institute of Technology, P.O. Box 2537, Harbin, China
  • [ 2 ] [Xu, Y.]School of Transportation Science and Engineering, Harbin Institute of Technology, P.O. Box 2537, Harbin, China
  • [ 3 ] [Li, H.]School of Transportation Science and Engineering, Harbin Institute of Technology, P.O. Box 2537, Harbin, China
  • [ 4 ] [Yan, W.M.]Beijing Key Lab of Earthquake Engineering and Structural Retrofit, Beijing University of Technology, Beijing, 100 Pingleyuan, China

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Source :

Year: 2014

Page: 449-456

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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