Browse > Article
http://dx.doi.org/10.5000/EESK.2003.7.6.035

Seismic Fragility Curves for Multi-Span Concrete Bridges  

Kim, Sang-Hoon ((주)대우건설 토목기술팀)
Publication Information
Journal of the Earthquake Engineering Society of Korea / v.7, no.6, 2003 , pp. 35-47 More about this Journal
Abstract
Seismic ground motion can vary significantly over distances comparable to the length of a majority of highway bridges on multiple supports. This paper presents results of fragility analysis of two actual highway bridges under ground motion with spatial variation. Ground motion time histories are artificially generated with different amplitudes, phases, as well as frequency contents at different support locations. Monte Carlo simulation is performed to study dynamic responses of the bridges under these ground motions. The effect of spatial variation on the seismic response is systematically examined and the resulting fragility curves are compared with those under identical support ground motion. This study shows that ductility demands for the bridge columns can be underestimated if the bridge is analyzed using identical support ground motions rather than differential support ground motions. Fragility curves are developed as functions of different measures of ground motion intensity including peak ground acceleration(PGA), peak ground velocity(PGV), spectral acceleration(SA), spectral velocity(SV) and spectral intensity(SI). This study represents a first attempt to develop fragility curves under spatially varying ground motion and provides information useful for improvement of the current seismic design codes so as to account for the effects of spatial variation in the seismic design of long-span bridges.
Keywords
fragility curve; concrete bridge; nonlinear dynamic analysis; earthquake; ductility;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Deodatis, G., “Simulation of ergodic multi-variate stochastic processes,” J. Engrg. Mech., ASCE, Vol. 122, No. 8, 1996b, pp. 778-787.   DOI   ScienceOn
2 Kim, S.-H. and Shinozuka, M., “Effects of seismically inducd pounding at expansion joints of concrete bridges,” J. Engrg. Mech. ASCE, Vol. 129, No. 11, 2003.
3 Deodatis, G., “Non-stationary stochastic vector processes: Seismic ground motion applications,” Probabilistic Engrg. Mech., Vol. 11, No. 3, 1996c, pp. 149-167.   DOI   ScienceOn
4 Shinozuka, M., Feng, M. Q., Kim, H.-K., Uzawa, T., and Ueda, T., “Statistical analysis of fragility curves,” Technical Report MCEER, 2000a.
5 Shinozuka, M., Deodatis, G., Saxena, V., Kim, H.-K., “Effect of spatial variation of ground motion on bridge response,” Technical Report MCEER, 1998.
6 Computer and Structures, Inc., SAP2000/Nonlinear Users Manual, Berkeley, CA, 1999.
7 Buckle, I. G.(Editor), “The Northridge, California Earthquake of January 17, 1994: Performance of Highway Bridge,” Technical Report NCEER-94-0008, National Center for Earthquake Engineering Research, State University of New York, Buffalo, 1994.
8 Hwang, H., Jernigan, J. B., and Lin, Y. W., “Expected seismic damage to Memphis highway systems,” Proceeding of 5th U.S. Conference on Lifeline Earthquake Engineering, 1999.
9 Shinozuka, M., Uzawa, T., and Sheng, L.-H., “Estimation and testing of fragility parameters,” International Conference on Monte Carlo Simulation, 2000b.
10 Hausner, G. W., “Intensity of ground motion during strong earthquakes,” Proceedings of 1952 Symposium on Earthquake and Blast Effects on Structures, Earthquake Engineering Research Institute, California Institute of Technology, 1952.
11 Shinozuka, M., Feng, M. Q., Kim, H.-K., and Kim, S.-H., “Nonlinear static procedure for fragility curve development,” J. Engrg. Mech. ASCE, Vol. 126, No. 12, 2000d, pp. 1287-1295.   DOI   ScienceOn
12 Shinozuka, M., Feng, M. Q., Lee, J., and Nagaruma, T., “Statistical analysis of fragility curves,” J. Engrg. Mech. ASCE, Vol. 126, No. 12, 2000c, pp. 1224-1231.   DOI   ScienceOn
13 Basoz, N., and Kiremidjian, A. S., “Evaluation of bridge damage data from the Loma Prieta and Northridge, California earthquake,” Technical Report MCEER-98-0004, 1998.
14 California Department of Transportation, COLx Users Manual, Sacramento, CA, 1993.
15 Deodatis, G., Simulation of stochastic processes and fields to model loading and material uncertainties: Probabilistic methods for structural design, Kluwer Academic Publshers, 1996a.