Identification and Gradation of Risk Sources in Subway Station Construction Based on Hole-Pile Method

Abstract:

This paper identifies and grades the major risk sources in the Center Street Subway Station in Shenyang, by adopting the Fuzzy Theory to make identification and gradation of risk sources in subway station construction with hole-pile method. By the analytic hierarchy process, it computes the weight and membership of every risk source during the construction process, establishes the evaluation model for identification and gradation of risk sources in hole-pile construction of subway station, obtaines the weights and indictors during the overall construction process of the Center Street Subway Station in Shenyang, and finally determines the danger level in subway station construction under the maximum membership principle. The research gives a reference for hole-pile construction of subway station.

• Periodical: Applied Mechanics and Materials (Volumes 438-439)
• Pages: 1020-1023
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.438-439.1020
• Online since: October 2013
• Authors: Dong Yang Geng, Li Jun Cao, Xiang Mei Yu
• Keywords: Fuzzy Theory, Hole-Pile Method, Identification of Risk Sources, Subway Station

References

[1] Lehmann B., Orlowsky D., Misiek R., Exploration of tunnel alignment using geophysical methods to increase safety for planning and minimizing risk, Rock Mechanics and Rock Engineering, Vol. 43 No. 1 (2010) 105-116.

DOI: 10.1007/s00603-009-0028-2

[2] G. Zhang, Safety inspection to major dangerous sources, Safety Health & Environment, Vol. 8 No. 4 (2004) 30-32.

[3] Faber M. H., Stewart M. G., Risk assessment for civil engineering facilities: critical overview and discussion, Reliability Engineering & System Safety, 80 (2003) 173-184.

DOI: 10.1016/s0951-8320(03)00027-9

[4] Z Wu, Research on the city major hazard installation monitoring system and emergency rescue system, Safety, 2 (2005) 6-9.

[5] Zambelis T., Tsivgoulis G. Karandreas N., Carpal tunnel syndrome: associations between risk factors and laterality, European Neurology, 1 (2007) 43-47.

DOI: 10.1159/000268165