Efficient identification of critical disjoint cut sets and link sets for network reliability analysis

Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering

Volumn , Issue , 2011, Pages 1453-1461

  Lim, H W ^a   Song, J ^a  

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

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; COMPUTATION THEORY; DECISION MAKING; DISASTERS; GRAPH THEORY; HAZARDS; NETWORK COMPONENTS; RELIABILITY THEORY; RISK ASSESSMENT;

COMPUTATIONAL SIMULATION; GAS TRANSMISSION NETWORKS; NETWORK RELIABILITY ANALYSIS; POST-DISASTER RESPONSE; RECURSIVE DECOMPOSITION ALGORITHMS; RISK-INFORMED DECISION MAKING; SIMULATION BASED APPROACHES; SIMULATION-BASED ALGORITHMS;

RELIABILITY ANALYSIS;

EID: 84856715869     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1201/b11332-217     Document Type: Conference Paper

References (17)

1. Adachi, T. & Ellingwood, B.R. 2008. Serviceability of earthquake-damaged water systems: effects of electrical power availability and power backup systems on system vulnerability. Reliability Engineering and System Safety 93(1): 78-88.
2. Ahuja, R.K., Magnanti, T.L. & Orlin, J.B. 1993. Network Flow: Theory, Algorithms, and Applications. Upper Saddle River, New Jersey: Prentice-Hall.
3. Annaka, T., Yamazaki, F. & Katahira, T. 1997. Proposal of peak ground velocity and response spectra based on JMA 87 type accelerometer records. Proceedings, 24th JSCE Earthquake Engineering Symposium 1: 161-164 (in Japanese).
4. Boore, D.M. & Atkinson, G.M. 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: 99-138.
5. Federal Emergency Management Agency (FEMA). 2008. HAZUS MH-MR3 Technical Manual. Washington D.C.: FEMA.
6. Genz, A. 1992. Numerical computation of multivariate normal probabilities. Journal of Computational and Graphical Stat.: 141-149.
7. Goda, K. & Hong, H.P. 2008. Spatial correlation of peak ground motions and response spectra. Bulletin of the Seismological Society of America 98(1): 354-365.
8. Jayaram, N. & Jack, W.B. 2009. Correlation model for spatially distributed ground-motion intensities. Earthquake Engineering and Structural Dynamics 38: 1687-1708.
9. Kang, W.-H., Song, J. & Gardoni, P. 2008. Matrix-based system reliability method and applications to bridge networks. Reliability Engineering & System Safety 93: 1584-1593.
10. Kang, W.-H. & Song, J. 2011. Post-disaster damage detection for pipeline networks by matrix-based system reliability analysis. Proc. 11th ICASP, August, 1-4, Zurich, Switzerland.
11. Lee, Y.-J., Song, J., Gardoni, P. & Lim, H.-W. 2011. Post-hazard flow capacity of bridge transportation network considering structural deterioration of bridges. Structure and Infrastructure Engineering: Maintenance, Management, Life-cycle Design and Performance 7(7): 509-521.
12. Li, J. & He, J. 2002. A recursive decomposition algorithm for network seismic reliability evaluation. Earthquake Engineering and Structural Dynamics 31(8): 1525-2539.
13. Li, J., Qian, Y. & Liu, W. 2007. Minimal cut-based recursive decomposition algorithm for seismic reliability evaluation of lifeline networks. Earthquake Engineering and Engineering Vibration 8: 409-415.
14. Liu, W. & Li, J. 2009. An improved recursive decomposition algorithm for reliability evaluation of lifeline networks. Earthquake Engineering and Engineering Vibration 8: 409-415.
15. Song, J. & Kang, W.-H. 2009. System reliability and sensitivity under statistical dependence by matrix-based system reliability method. Structural Safety 31(2): 1584-1593.
16. Song, J. & Ok, S.-Y. 2010. Multi-scale system reliability analysis of lifeline networks under earthquake hazards. Earthquake Engng Struct. Dyn. 39(3): 259-279.
17. Wang, M. & Takada T. 2005. Macrospatial correlation model of seismic ground motions. Earthquake Spectra 21(4): 1137-1156.