Bridge Monitoring Data Analysis Based on Apriori Algorithm

Abstract:

With the rapid development of transportation, more and more bridges have been built, the problem of bridge health monitoring has became one of the most important thing in civil engineering field of current research. Many bridges installed monitoring sensors, a large amount of data collected during the operation, how to use the monitoring date of bridges effectively, for providing scientific data support to the operation and maintenance of the bridges, this thesis has established an Apriori model to search the rules potential, at first, thought dealing with the database in the early period, then, establishment of a given bridge state Apriori evaluation model, Digging out association rules between each attribute potential, we can effectively diagnosis bridge condition and realize the structure change of the bridge in time by using the rules potentially, then we can provide more data supporting evidence and the early warning before the hazardous happen to bridge maintenance personnel has a certain practical value.

• Periodical: Applied Mechanics and Materials (Volume 328)
• Pages: 287-291
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.328.287
• Online since: June 2013
• Authors: Qing Ye, Qiang Zhan, Feng Liu, Zan Song
• Keywords: Apriori Algorithm, Bridge Monitoring, Data Mining (DM)

References

[1] Bapat A V, Venkatraman N, New approach for the representation of a point support in the analysis of plates, Journal of Sound and Vibration, (1998), 120(1), pp.107-125.

[2] Levy Mer, Why buildings fall down, Newyork: W.W. Norton and Company,1992.

[3] Wu X, Ghaboussi J, Garrett J H, Use of Neural Networks in Detection of Structural Damage, Computers and Structures,(1992), 42(4), pp.649-659.

DOI: 10.1016/0045-7949(92)90132-j

[4] David W. Thoni, Alfred Strey, Data mining principle and algorithm, Tsinghua University press, (2005).

[5] Z. K. Baker and V. K. Prasanna, "Efficient hardware data mining with the apriori algorithm on fpgas," in Proc. IEEE Symp, Field-Programmable Custom Comp, Machines, (2005), p.3–12.

DOI: 10.1109/fccm.2005.31

[6] Wen-wei Chen, The data mining technology, Beijing: Beijing industrial university press, 2002.

[7] Yiqiang Xiang, Wei Guo Zhu, JinFeng Wang, Combination bridge analysis and test research, highway traffic technology, (2006),(5).

[8] HuiWang, Beam combined continuous girder bridge transverse distribution study, Highway traffic technology, Vol. (2006).

[9] Yaping Chen, Hengyi Wei, Apriori algorithm for mining association rules study, Microcomputer system, (2000).

[10] Lichu Fan, Bridge Engineering, Beijing: People's Communications Press, 2001.

[11] Faxiang Zhang, Road and bridge projects, Nanjing: Hohai University Press, 2000.

[12] Wu X, Ghaboussi J, Garrett J H, Use of Neural Networks in Detection of Structural Damage, Computers and Structures, (1992),42(4), pp.649-659.

DOI: 10.1016/0045-7949(92)90132-j

[13] andey A K, Biswas M, Damage detection in structures using changes in flexibility, Sound and Vibration, (1994), 169(1).