Multi-scale system reliability analysis of lifeline networks under earthquake hazards

Earthquake Engineering and Structural Dynamics

Volumn 39, Issue 3, 2010, Pages 259-279

  Song, Junho ^a   Ok, Seung Yong ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

Earthquake hazards; Fragility; Lifeline network; Multi scale analysis; Spatial correlation; System reliability analysis

Indexed keywords

CORRELATION METHODS; DECISION SUPPORT SYSTEMS; DISTRIBUTED PARAMETER NETWORKS; EARTHQUAKES; HAZARDS; PROBABILITY DENSITY FUNCTION; QUALITY ASSURANCE; RISK ASSESSMENT; RISK MANAGEMENT; STATISTICS; UNCERTAINTY ANALYSIS;

AFFECTED AREA; COMPONENT IMPORTANCE; COMPUTATIONAL EFFORT; CONDITIONAL PROBABILITIES; DECISION SUPPORTS; EARTHQUAKE EVENTS; EARTHQUAKE HAZARD; GAS DISTRIBUTION NETWORK; IN-NETWORK; LARGE SIZES; LINK FAILURES; MATRIX; MULTI SCALE ANALYSIS; MULTI-SCALE APPROACHES; MULTI-SCALE SYSTEM; MULTIPLE SCALE; NETWORK DECOMPOSITION; PARAMETER SENSITIVITIES; PARAMETRIC STUDY; RELATIVE IMPORTANCE; RELIABILITY EVALUATION; RISK MANAGEMENT FRAMEWORK; SEISMIC INTENSITY; SOCIO-ECONOMICS; SPATIAL CORRELATIONS; STATISTICAL CORRELATION; STRUCTURAL COMPONENT; SYSTEM CONNECTIVITY; SYSTEM RELIABILITY;

RELIABILITY ANALYSIS;

ACCURACY ASSESSMENT; EARTHQUAKE DAMAGE; EARTHQUAKE ENGINEERING; EARTHQUAKE EVENT; EFFICIENCY MEASUREMENT; GAS PIPELINE; HAZARD MANAGEMENT; NETWORK DESIGN; PARAMETERIZATION; PROBABILITY; RELIABILITY ANALYSIS; RISK ASSESSMENT; SEISMIC HAZARD; SEISMIC RESPONSE; SOCIOECONOMIC IMPACT; STRUCTURAL RESPONSE;

SHELBY COUNTY [TENNESSEE]; TENNESSEE; UNITED STATES;

EID: 77952923307     PISSN: 00988847     EISSN: 10969845     Source Type: Journal    
DOI: 10.1002/eqe.938     Document Type: Article

References (36)

1. Anagnos T. Development of an Electrical Substation Equipment Performance Database for Evaluation of Equipment Fragilities. Final report, prepared for Pacific Gas & Electric Co. and Pacific Earthquake Engineering Research Center, Department of Civil and Environmental Engineering, San Jose State University, San Jose, CA, 1999.
2. Der Kiureghian A. Bayesian methods for seismic fragility assessment of lifeline components. In Acceptable Risk Processes: Lifelines and Natural Hazards, Taylor C, VanMarcke E (eds), Council on Disaster Reduction and Technical Council on Lifeline Earthquake Engineering, Monograph No. 21. ASCE: New York, 2002.
3. Song J, Der Kiureghian A, Sackman JL. Seismic interaction in electrical substation equipment connected by nonlinear rigid bus conductors. Earthquake Engineering and Structural Dynamics 2007; 36:167-190.
4. Rose A, Lim D. Business interruption losses from natural hazards: conceptual and methodological issues in the case of the Northridge earthquake. Environmental Hazards 2002; 4:1-14.
5. Rose A, Liao S-Y. Modeling regional economic resilience to disasters: a computable general equilibrium analysis of water service disruptions. Journal of Regional Science 2005; 45(1):75.
6. Peacock WG. Hurricane mitigation status and factors influencing mitigation status among Florida's single-family homeowners. Natural Hazards Review 2003; 4(3):1-10.
7. Shinozuka M, Dong X, Chen TC, Jin X. Seismic performance of electric transmission network under component failures. Earthquake Engineering and Structural Dynamics 2007; 36(2):227-244.
8. Dueñas-Osorio L, Craig JI, Goodno BJ. Seismic response of critical interdependent networks. Earthquake Engineering and Structural Dynamics 2007; 36(2):285-306.
9. Kim YS. Seismic loss assessment and mitigation of critical urban infrastructure systems. Ph.D. Thesis, University of Illinois, 2007.
10. Guikema SD, Gardoni P. Reliability estimation for networks of reinforced concrete bridges. ASCE Journal of Infrastructure Systems 2009; 15(2):61-69.
11. Dotson WP, Gobien JO. A new analysis technique for probability graphs. IEEE Transactions on Circuits and Systems 1979; 26:855-865.
12. Yoo YB, Deo N. A comparison of algorithm for terminal-pair reliability. IEEE Transactions on Reliability 1988; 37:210-215.
13. Theologou ORJ, Carlier G. Factoring and reductions for networks with imperfect vertices. IEEE Transactions on Reliability 1991; 40(2):200-217.
14. Li J, He J. A recursive decomposition algorithm for network seismic reliability evaluation. Earthquake Engineering and Structural Dynamics 2002; 31:1525-1539.
15. Der Kiureghian A, Ditlevsen OD, Song J. Availability, reliability and downtime of systems with repairable components. Reliability Engineering and System Safety 2007; 92:231-242.
16. Song J, Der Kiureghian A. Bounds on system reliability by linear programming. ASCE Journal of Engineering Mechanics 2003; 129(6):627-636.
17. Song J, Der Kiureghian A. Bounds on system reliability by linear programming and applications to electrical substations. Proceedings of the 9th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP9), San Francisco, CA, U.S.A., 6-9 July 2003.
18. Der Kiureghian A, Song J. Multi-scale reliability analysis and updating of complex systems by use of linear programming. Reliability Engineering and System Safety 2008; 93(2):288-297.
19. Adachi T, Ellingwood B. Impact of infrastructure interdependency and spatial correlation of seismic intensities on performance assessment of a water distribution system. Proceedings of the 10th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP10), Tokyo, Japan, 31 July-3 August 2007.
20. Kang W-H, Song J, Gardoni P. Matrix-based system reliability method and applications to bridge networks. Reliability Engineering and System Safety 2008; 93:1584-1593.
21. Song J, Kang W-H. System reliability and sensitivity under statistical dependence by matrix-based system reliability method. Structural Safety 2009; 31(2):148-156.
22. Kang W-H, Song J. Evaluation of multinormal integral and sensitivity by matrix-based system reliability method. Proceedings of the 10th AIAA Nondeterministic Approaches Conference, Schaumburg, IL, U.S.A., 7-10 April 2008.
23. Hohenbichler M, Rackwitz R. First-order concepts in system reliability. Structural Safety 1983; 1(3):177-188.
24. Song J, Der Kiureghian A. Component importance measures by linear programming bounds on system reliability. Proceedings of the 9th International Conference on Structural Safety and Reliability (ICOSSAR9), Rome, Italy, 19-23 June 2005.
25. Federal Emergency Management Agency (FEMA). HAUZS-MH MR1 Technical Manual, Washington, DC, 2003. 26.
26. Wang M, Takada T. Macrospatial correlation model of seismic ground motions. Earthquake Spectra 2005; 21(4):1137-1156.
27. Ditlevsen OD, Madsen HO. Structural Reliability Methods. Wiley: New York, NY, U.S.A., 1996.
28. Aggarwal KK, Misra KB. A fast algorithm for reliability evaluation. IEEE Transactions on Reliability 1975; 24(1):83-85.
29. Wu X, Sha J. Full probability decomposition algorithm for network reliability. System Engineering and Electronics Technology 1998; 6:71-73.
30. Kuo S, Lu S, Yeh F. Determining terminal-pair reliability based on edge expansion diagram using OBDD. IEEE Transactions on Reliability 1999; R48:234-246.
31. Memphis Light, Gas and Water Division (MLGW). Memphis Light, Gas, and Water Division 2006 Annual Report, 2006. Available from: http://www.mlgw.com/ [20 August 2007].
32. Benson J. MLGW keeping pace with RTU evolution. Pipeline and Gas Journal 1992; 219(9):55-58.
33. Chang SE, Seligson HA, Eguchi RT. Estimation of the economic impact of multiples lifeline distribution: memphis light, gas and water division case study. Technical Report NCEER-96-001, National Center for Earthquake Engineering Research (NCEER), Buffalo, NY, 1996.
34. Bowker R. Personal Communication, Manager, Information Technical Department, MLGW, Memphis, TN, 2007.
35. Mid America Earthquake (MAE) Center. MAEviz Software. Available from: http://mae.ce.uiuc.edu/ [12 December 2008].
36. Ang AH-S, Tang WH. Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering (2nd edn). Wiley: New York, 2006.