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Research on cable safety based on monitoring data and time- dependent reliability

 Research on cable safety based on monitoring data and time- dependent reliability
Author(s): , ORCID
Presented at IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019, published in , pp. 1370-1377
DOI: 10.2749/guimaraes.2019.1370
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Different from judging whether the proposed structure meets the requirements in the design stage, the evaluation of the existing structure has always been a difficult issue for structural engineers...
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Bibliographic Details

Author(s): (State key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China.)
ORCID (State key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai, China.)
Medium: conference paper
Language(s): English
Conference: IABSE Symposium: Towards a Resilient Built Environment Risk and Asset Management, Guimarães, Portugal, 27-29 March 2019
Published in:
Page(s): 1370-1377 Total no. of pages: 8
Page(s): 1370-1377
Total no. of pages: 8
DOI: 10.2749/guimaraes.2019.1370
Abstract:

Different from judging whether the proposed structure meets the requirements in the design stage, the evaluation of the existing structure has always been a difficult issue for structural engineers. Using the four-years monitoring data of a long span cable-stayed bridge in this paper, the probability distribution of the load effect is studied based on the reliability theory. The purpose of this paper is to provide a theoretical reference for the safety assessment, operation management and maintenance reinforcement decision of existing structures. The results show that the load effect obeys the normal distribution or the beta distribution. The reliability indexes of the cable are calculated separately in months and in years. It is noted that the reliability indexes varies with the different time period. This study also conducts a preliminary discussion on the remaining life of the cable based on the regression analysis of reliability index.

Keywords:
reliability index existing structure time-dependent reliability variable load effect probability density