Title
Time-Variant Reliability And Load Rating Of A Movable Bridge Using Structural Health Monitoring
Abstract
After the recent bridge collapses in the US, the engineering community demands critical effects of bridge deterioration over long-term to be investigated and closely monitored. Combined with reliability techniques, structural health monitoring (SHM) can provide objective and accurate assessment of existing condition for safety and serviceability trends based on collected data. Two main approaches for this evaluation are rating and reliability. These approaches will be demonstrated analytically on a finite element model and the SHM data of a movable bridge: Sunrise Boulevard Bridge. Firstly, the reliability index and load rating will be analyzed under truck loading. A moving truck will be simulated on the model, obtaining the response reliability indices and ratings as a function of time. Strains from the model will be evaluated as monitoring data and component reliabilities will be calculated according to assumed limit states using random variables for material properties. Then, the same procedure is repeated but this time using the real-time data collected from the actual bridge. Finally, the results coming from both cases are compared and interpreted. These demonstrations will establish a guideline for applying reliability assessment based on monitoring data. ©2010 Society for Experimental Mechanics Inc.
Publication Date
1-1-2011
Publication Title
Conference Proceedings of the Society for Experimental Mechanics Series
Volume
5
Number of Pages
71-84
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-1-4419-9825-5_8
Copyright Status
Unknown
Socpus ID
79960301228 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/79960301228
STARS Citation
Dumlupinar, Taha; Gokce, H. Burak; Catbas, F. Necati; and Frangopol, Dan M., "Time-Variant Reliability And Load Rating Of A Movable Bridge Using Structural Health Monitoring" (2011). Scopus Export 2010-2014. 3624.
https://stars.library.ucf.edu/scopus2010/3624