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Study for Determination of Management Thresholds of Bridge Structural Health Monitoring System based on Probabilistic Method
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 Title & Authors
Study for Determination of Management Thresholds of Bridge Structural Health Monitoring System based on Probabilistic Method
Kim, Haeng-Bae; Song, Jae-Ho;
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 Abstract
Recently, structural health monitoring system(SHMS) has been appled cable bridges as the effective maintenance tool and the management threshold is considered to assess the status of the bridge in SHMS. The threshold is generally determined by the allowable limit based on design specification because there is no method and standard for threshold calculation. In case of the conventional thresholds, it is difficult to recognize the event, abnormal behavior and gradual damage within the threshold. Therefore, this study reviewed the problem of previous methods and proposed the advanced methodologies based on probabilistic approach for threshold calculation which can be applied to practice work. Gumbel distribution is adopted in order to calculate the threshold for caution and warning states considering the expectations for return periods of 50 and 100 years. The thresholds were individually determined for measurement data and data variation to detect the various abnormal behaviors within allowable range. Finally, it has confirmed that the thresholds by the proposed method is detectable the abnormal behavior of real-time measuring data from SHMS.
 Keywords
Cable bridge;Structural health monitoring system;Management threshold;Gumbel distribution;Return period;Data variation;
 Language
Korean
 Cited by
 References
1.
Heo, J. H., Lee, D. J., Shin, H. and Nam, W. (2008), A Study on Uncertainty of Risk of Failure Based on Gumbel Distribution, Journal of Korea Water Resource Association, 39(8), 659-668.

2.
Kong, B. S. (2008), Analysis of New Health Monitoring System for Long Span Bridge over the Sea, Journal of Ocean Engineering and Technology, 22(5), 142-147.

3.
KRTA (2012), Korea Bridge Design Specification, Korea Road and Traffic Association, Seoul, 5-49.

4.
Suh, D. H. and Park, C. B. (2013), A Novel Method of Basic Probability Assignment Calculation with Signal Variation Rate, Journal of the Korea Institute of Electronic Communication Sciences, 8(3), 465-470. crossref(new window)

5.
Svoboda, V., Petrasek, P. (2005), Bridge Structure State Monitoring, Conditioning Monitoring and Diagnostic Engineering Management, Cranfield, 18, 579-588.

6.
Wang, Q., Huang, F. and Gao, Y. (2007), Threshold Value Classification of Bridge Health Monitoring, Proceedings of International Conference on Health Monitoring of Structure Material and Environment, Southeast University Press, 1, 337-341.