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http://dx.doi.org/10.12652/Ksce.2018.38.4.0505

Proposal of Maintenance Scenario and Feasibility Analysis of Bridge Inspection using Bayesian Approach  

Lee, Jin Hyuk (Korea University)
Lee, Kyung Yong (Korea University)
Ahn, Sang Mi (Korea University)
Kong, Jung Sik (Korea University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.38, no.4, 2018 , pp. 505-516 More about this Journal
Abstract
In order to establish an efficient bridge maintenance strategy, the future performance of a bridge must be estimated by considering the current performance, which allows more rational way of decision-making in the prediction model with higher accuracy. However, personnel-based existing maintenance may result in enormous maintenance costs since it is difficult for a bridge administrator to estimate the bridge performance exactly at a targeting management level, thereby disrupting a rational decision making for bridge maintenance. Therefore, in this work, we developed a representative performance prediction model for each bridge element considering uncertainty using domestic bridge inspection data, and proposed a bayesian updating method that can apply the developed model to actual maintenance bridge with higher accuracy. Also, the feasibility analysis based on calculation of maintenance cost for monitoring maintenance scenario case is performed to propose advantages of the Bayesian-updating-driven preventive maintenance in terms of the cost efficiency in contrast to the conventional periodic maintenance.
Keywords
Monitoring; Uncertainty; Bayesian update; Maintenance; Cost efficiency;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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