Earthquake Fragility Assessment of the Underground Tunnel Using an Efficient SSI Analysis Approach


This paper represents a simplified seismic fragility analysis approach of the underground tunnel structure in consideration of the soil-structure interaction (SSI) effect. SSI effect founds to be essential in the estimation of dynamic analysis of underground structures like tunnels and thus needs to be considered. The ground response acceleration method for buried structures (GRAMBS) known to be a very efficient quasi-static method that can consider SSI effect is used in the proposed approach to evaluate seismic structural responses without sacrificing much accuracy. Seismic fragility curves are then developed by applying the maximum likelihood estimates (MLE) to responses of a large set of artificial ground motion time histories generated for multiple different levels of earthquake intensity. It is also assumed in this paper that the seismic fragility curve can be represented by a two-parameter lognormal distribution function with median and log-standard deviation that need to be defined using MLE.

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Le, T. , Huh, J. and Park, J. (2014) Earthquake Fragility Assessment of the Underground Tunnel Using an Efficient SSI Analysis Approach. Journal of Applied Mathematics and Physics, 2, 1073-1078. doi: 10.4236/jamp.2014.212123.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Katayama, I. (1990) Study on Fundamental Problems in Seismic Design Analyses of Critical Structures and Facilities.
[2] Shinouka, M., Feng, M.Q., Kim, H., Uzawa, T. and Ueda, T. (2001) Statistical Analysis of Fragility Curves.
[3] Midas-IT (2011) MIDAS Civil On-Line Manual.
[4] Baker, J.W. (2011) Fitting Fragility Functions to Structural Analysis Data Using Maximum Likelihood Estimation.
[5] Pitilakis, K. (1995) Fragility Function for Roadway System Elements. SYNER-G, No. 244061.
[6] KBC (2013) Korea Building Code.

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