Title
Performance-Based Post-Earthquake Repair Metrics For Rc Bridges
Keywords
Fragility; Loss modeling; Production rate; Repair cost; Repair time; Unit cost
Abstract
Post-earthquake repair costs and repair times are important for evaluating the performance of new bridge designs and existing bridges in regions where bridges are subject to seismic hazards. Hazard and structural demand models describe the probabilistic structural response during earthquakes. Damage and decision models link the structural response to decisions on bridge repair actions and repair costs. A step-by-step probabilistic repair cost and repair time methodology is proposed in this paper to probabilistically evaluate repair metrics for different bridge components and the bridge as a system, corresponding to varying degrees of damage. Repair actions, quantities, times, and costs are input into spreadsheet templates, and a numerical tool evaluates the expected value and variance of both repair costs and repair times for a range of earthquake intensities. This methodology uses the concept of performance groups - groups defined to account for bridge components that are repaired together. Spreadsheets are used to track all the necessary data: bridge information, structural response, component damage states, repair methods and repair quantities, and unit costs or production rates. Data can be customized for repair methods and bridge types particular to different regions. A multi-span, reinforced concrete highway overpass bridge in California is used to illustrate the methodology.
Publication Date
12-1-2010
Publication Title
American Concrete Institute, ACI Special Publication
Issue
271 SP
Number of Pages
103-124
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
79952333974 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/79952333974
STARS Citation
Mackie, Kevin R.; Wong, John Michael; and Stojadinovic, Bozidar, "Performance-Based Post-Earthquake Repair Metrics For Rc Bridges" (2010). Scopus Export 2010-2014. 377.
https://stars.library.ucf.edu/scopus2010/377