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http://dx.doi.org/10.12652/Ksce.2019.39.1.0135

The Preventive Maintenance Strategy in Operation Stage of Bridge using Bayesian Inference  

Lee, Jin Hyuk (Korea University)
Choi, Yang Rock (Korea University)
Ann, Hojune (Korea University)
Kong, Jung Sik (Korea University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.39, no.1, 2019 , pp. 135-146 More about this Journal
Abstract
In this paper, the preventive maintenance strategy in operation stage of a bridge using Bayesian inference is proposed. The proposed technique can be used to predict the variation in the performance (or condition) of the bridge with higher accuracy, considering the uncertainty of monitoring. The applicability of the proposed method to the existing bridges is verified and analyzed that have an advantage in terms of maintenance cost efficiency compared to the conventional periodic maintenance system, which establishes maintenance after damage. It is expected that the proposed preventive maintenance method can be used to overcome the limitation of the conventional periodic maintenance method and to make practical bridge maintenance decision.
Keywords
Bayesian inference; Operation stage; Monitoring; uncertainty; Cost efficiency; Preventive maintenance;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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