Updating the reliability of existing PC bridge girders by incorporating spatial variations

M. Akiyama*, D. M. Frangopol, I. Yoshida

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a framework for estimating the time-dependent reliability of prestressed concrete (PC) bridge girders in a marine environment. The analysis considers the spatial variability associated with concrete cover, surface chloride concentration, and coefficient of diffusion of chloride over the entire area. PC bridge girder is modeled as one-dimension spatial model. In addition, random variables for estimating the corrosion process of PC bridge girders are updated based on observational information such as chloride concentration distribution by coring test. Sequential Monte Carlo Simulation (SMCS) is used to update simultaneously multiple random variables relating to observational information. In an illustrative example, the effect of the spatial interval of observational information given by coring test on the updated estimate of a PC bridge girder reliability is investigated.

Original languageEnglish
Title of host publicationBridge Maintenance, Safety, Management, Resilience and Sustainability - Proceedings of the Sixth International Conference on Bridge Maintenance, Safety and Management
Pages602-607
Number of pages6
Publication statusPublished - 2012 Jul 23
Event6th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2012 - Stresa, Lake Maggiore, Italy
Duration: 2012 Jul 82012 Jul 12

Publication series

NameBridge Maintenance, Safety, Management, Resilience and Sustainability - Proceedings of the Sixth International Conference on Bridge Maintenance, Safety and Management

Conference

Conference6th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2012
Country/TerritoryItaly
CityStresa, Lake Maggiore
Period12/7/812/7/12

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

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