Time-varying seismic reliability analysis of representative US west coast bridge transportation networks

Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013

Volumn , Issue , 2013, Pages 655-662

  Kurtz, N ^a   Song, J ^a   Gardoni, P ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL PROBABILITIES; INFRASTRUCTURE NETWORKS; NETWORK RELIABILITY; NETWORK RELIABILITY ANALYSIS; NETWORK RESILIENCE; RECURSIVE DECOMPOSITION ALGORITHMS; STRUCTURAL DETERIORATION; TRANSPORTATION NETWORK;

CLUSTERING ALGORITHMS; DETERIORATION; HAZARDS; SEISMOLOGY; TIME VARYING NETWORKS;

RELIABILITY ANALYSIS;

EID: 84892403989     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Ahuja, R., Magnanti, T., and Orlin, J. 1993. Network Flow: Theory, Algorithms, and Applications. Prentice-Hall: Upper Saddle River, New Jersey.
2. Boore, D. and Atkinson, G. 2008. Ground motion prediction equations for the average horizontal component of PGA, PGV, and 5% damped SA at spectral periods between 0.1s and 10s. Earthquake Spectra. 24(1): 99-138.
3. California Log of Bridges on State Highways. California Department of Transportation Structure Maintenance and Investigations, Jan 2013.
4. Choe, D., Gardoni, P., and Rosowsky, D. 2007. Closed-form fragility estimates, parameter sensitivity and Bayesian updating for RC columns. ASCE Journal of Engineering Mechanics, 133 (7): 833-843.
5. Choe, D., Gardoni, P., Rosowsky, D., and Haukaas, T. 2009. Seismic fragility estimates for reinforced concrete bridges subject to corrosion. Structural Safety, 31, 275-283.
6. Chopra, A.K., 1995. Dynamics of Structures: Theory and applications to earthquake engineering. Upper Saddle River, NJ: Prentice-Hall.
7. DuraCrete. Statistical Quantification of the Variables in the Limit State Functions. The European Union Brite EuRam 3 contract BRPR-CT95-0132 Project BE95-1347 Report no BE95-12347/R7 May 2000.
8. ESRI 2011. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute.
9. Fenves, G., and Ellery, M. 1998. Behavior and Failure Analysis of a Multiple-Frame Highway Bridge in the 1994 Northridge Earthquake. PEER Rep. No. 1998/08. Pacific Engineering Earthquake Research Center. University of California. Berkeley, California.
10. Gardoni, P., Mosalam, K., and Der Kiureghian, A. 2003. Probabilistic Seismic Demand Models and Fragility Estimates for RC Bridges. Journal of Earthquake Engineering. 7(1): 79-106.
11. Gardoni, P., and Rosowsky, D. 2009. Seismic Fragility Increment Functions for Deteriorating Reinforced Concrete Bridges. Structure and Infrastructure Engineering. 9(1): 969-978.
12. Goda, K. and Hong, H. 2008. Spatial correlation of peak ground motions and response spectra. Bulletin of the Seismological Society of America. 39(3): 259-279.
13. Guikema, S. and Gardoni, P. 2009. Reliability estimation for networks of reinforced concrete bridges.ASCE Journal of Infrastructure Systems. 15(2): 1-9.
14. Huang, Q., Gardoni, P., and Hurlebaus, S. 2010. Probabilistic Seismic Demand Models and Fragility Estimates for Reinforced Concrete Highway Bridges with one Single-Column Bent. Journal of Engineering Mechanics. 136(11): 1340-1353.
15. Huang, Z. 1998. Extensions to the k-Means Algorithm for Clustering Large Data Sets with CategoricalValues. Data Mining and Knowledge Discovery. Kluwer Academic Publishers, Netherlands. 2: 283-304.
16. Kaufman, L. and Rousseeuw, P.J. 1990. Finding groups in data: An introduction to cluster analysis: New York (series inApplied Probability and Statistics), ISBN 0-471- 87876-g.
17. Lee, Y.J., Song, J., Gardoni, P., Lim, H.W. 2010. Post-hazard flow capacity of bridge transportation network considering structural deterioration of bridges. Structural and Infrastructure Engineering: Maintenance, Management, Life-cycle Design and Performance. 7(7): 509-521.
18. Lim, H.W., and Song, J. 2012. Efficient Risk Assessment of Lifeline Networks under Spatially Correlated Ground Motions Using Selective Recursive Decomposition Algorithm. Earthquake Engineering and Structural Dynamics. 41(13): 1861-1882.
19. Liu, M. and Frangopol D., 2005. Time dependent bridge network reliability: novel approach. ASCE Journal of Structural Engineering, 131(2): 329-337.
20. Mackie, K., and Stojadinoviæ, B. 2002. Seismic demands for performance-based design of bridges. PEER Rep. No. 2003/16. Pacific Engineering Earthquake Research Center. University of California. Berkeley, California.
21. Shinozuka, M., Murachi, Y., Dong, Xuejiang D., Zhou, Y., and Orlikowski, M. 2003. Effect of seismic retrofit of bridges on transportation networks. Earthquake engineering and engineering vibration. 2(2): 169-179.
22. Tibshirani, R., Walther, G., and Hastie, T. 2000. Estimating the number of clusters in a dataset via the gap statistic. Technical Report 208, Department of Statistics, Stanford University.
23. Thio, H. and Kanamori, H. 1994. Source Complexity of the 1994 Northridge Earthquake and Its Relation to Aftershock Mechanisms. Bulletin of the Seismological Society of America. 86(1B): 884-892.