The Damage Factors Correlation Analysis and Health Hierarchies Partition for RC Bridge

Abstract:

For the bridge health monitoring it is very important to understand the information what factors lead to the bridge damage. Clearly know these factors and the correlation between them can improve the efficiency of the bridge operation. But, the informed researches of damage factors are based on the expert's opinion and not on a systematic method of as the basis. First around 30 candidate factors are Scientific selected in reinforced concrete bridge related database in this paper, then these factors are divided into four common type, and in turn using rough clustering in the light of the four types, the rank of each type and comprehensive class are partition. Finally, the most significant influence factors to the structural damage are searched by the rough set theory (RST), and the association rules of each factor are analyzed.

• Periodical: Applied Mechanics and Materials (Volumes 204-208)
• Pages: 2074-2079
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.204-208.2074
• Online since: October 2012
• Authors: Zhong Ren Feng, Xin Liu, Xiong Jiang Wang
• Keywords: Bridge Health Monitoring, Clustering, Correlation Analysis, Principal Component Analysis (PCA), Rough Set (RS)

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