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Conference Papers Year : 2017

Beam Bridge Health Monitoring Algorithm Based on Gray Correlation Analysis

Abstract

Bridge construction investment is huge and the service cycle is long. During the service cycle, the bridge structure not only beared the load effect caused by fatigue damage, but also effected by the natural environment and human damage. Beam bridge is the most kind of bridge built on the highway and had a long-term service in China. The main beam of beam bridge is the main load-bearing component. Real-time evaluation of main beam’s health degree will greatly improve the safety of highway transportation. Through the rapid assessment of the main beam of the bridge, it can not only directly reflect whether the deflection of the main beam is beyond the dangerous range and the overall condition of the main beam, but also observe the long-term variation rule of the main beam. The current assessment algorithm only stays in the monitoring of whether the deflection of the main beam is beyond the dangerous range, without a complete assessment combined with massive historical data. Based on the theory of Gray Correlation Analysis and combined with the real - time data and historical data of bridge monitoring, we calculate the statistical indicator and morphological indicator of the main beam quickly, and evaluate the comprehensive health indicator of the bridge according to the technical specification in this paper.
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hal-01820918 , version 1 (22-06-2018)

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Jianguo Huang, Lang Sun, Hu Meng. Beam Bridge Health Monitoring Algorithm Based on Gray Correlation Analysis. 2nd International Conference on Intelligence Science (ICIS), Oct 2017, Shanghai, China. pp.409-416, ⟨10.1007/978-3-319-68121-4_44⟩. ⟨hal-01820918⟩
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