PROBABILISTIC METHODOLOGIES FOR PREDICTION OF POSTEARTHQUAKE BRIDGE REPAIR COSTS AND REPAIR TIMES
A new step-by-step probabilistic methodology, based on local linearization of the damage to repair quantity model, evaluates the repair costs and repair times for bridge components at varying degrees of damage. This local linearization repair cost and time methodology (LLRCAT) is compared to existing methodologies that use the Fourway graphical tool, and that are based on Monte Carlo simulation. LLRCAT requires a data structure to organize bridge-specific repair actions, quantities, and costs. Performance groups are defined for bridge components and subassemblies that are repaired together. This information is implemented using six spreadsheets for bridge material and spatial information, structural response, component damage states, repair methods and repair quantities, unit costs, and labor production rates. The results of using LLRCAT are illustrated using repair cost and repair time fragilities for an example multi-span reinforced concrete highway overpass bridge in California.
damage loss modeling performance-based earthquake engineering repair quantity
Kevin R. Mackie John-Michael Wong Bozidar Stojadinovic
Professor,Dept. of Civil and Environmental Engineering,Univ. of Central Florida,Orlando,USA Graduate student,Dept. of Civil and Environmental Engineering,Univ. of California,Berkeley,USA Professor,Dept. of Civil and Environmental Engineering,Berkeley,USA
国际会议
14th World Conference on Earthquake Engineering(第十四届国际地震工程会议)
北京
英文
2008-10-12（万方平台首次上网日期，不代表论文的发表时间）