Probabilistic seismic hazard analysis for spatially distributed infrastructure

Earthquake Engineering and Structural Dynamics

Volumn 41, Issue 15, 2012, Pages 2141-2158

  Han, Yeliang ^a   Davidson, Rachel A ^b  

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY OF DELAWARE   (United States)

Author keywords

Hazard; Lifelines; Optimization; Regional; Scenarios; Simulation

Indexed keywords

HAZARDS; INTEGER PROGRAMMING; MONTE CARLO METHODS; OPTIMIZATION; REGIONAL PLANNING; SEISMIC DESIGN;

ALTERNATIVE METHODS; COMPUTATIONALLY EFFICIENT; DISTRIBUTED INFRASTRUCTURE; EARTHQUAKE MAGNITUDES; EARTHQUAKE SCENARIO; EMPIRICAL COMPARISON; GROUND MOTIONS; HAZARD ANALYSIS; LIFELINES; LOS ANGELES; MIXED INTEGER LINEAR PROGRAM; MONTE CARLO SIMULATION; OCCURRENCE PROBABILITY; PROBABILISTIC SEISMIC HAZARD ANALYSIS; REGIONAL; REGIONAL ANALYSIS; SCENARIOS; SIMULATION; SIMULATION AND OPTIMIZATION; SINGLE STRUCTURE; SPATIAL CORRELATIONS;

EARTHQUAKES;

CORRELATION; EARTHQUAKE MAGNITUDE; GROUND MOTION; MONTE CARLO ANALYSIS; OPTIMIZATION; PROBABILITY; RISK ASSESSMENT; SEISMIC HAZARD; SPATIAL DISTRIBUTION; STRUCTURAL RESPONSE;

CALIFORNIA; LOS ANGELES [CALIFORNIA]; UNITED STATES;

EID: 84868133943     PISSN: 00988847     EISSN: 10969845     Source Type: Journal    
DOI: 10.1002/eqe.2179     Document Type: Article

References (33)

1. Bommer J, Spence R, Erdik M, Tabuchi S, Aydinoglu N, Booth E, del Re D, Peterken O. Development of an earthquake loss model for Turkish catastrophe insurance. Journal of Seismology 2002; 6:431-446.
2. Lee R, Kiremidjian A. Uncertainty and correlation for loss assessment of spatially distributed systems. Earthquake Spectra 2007; 23(4):753-770.
3. Bazzurro P, Luco N. Accounting for uncertainty and correlation in earthquake loss estimation. Proceeding of the 9th International Conference on Structural Safety and Reliability, Rome, Italy, 2005; 2687-2694.
4. Ebel J, Kafka A. A Monte Carlo approach to seismic hazard analysis. Bulletin of the Seismological Society of America 1999; 89(4):854-866.
5. Werner S, Taylor C, Cho S, Lavoi JP, Huyck C, Eitzel C, Chung H, Eguchi R. REDARS2 methodology and software for seismic risk analysis of highway systems. Technical Manual, Multidisciplinary Center for Earthquake Engineering Research, 2006.
6. Jain V, Davidson R. Application of a regional hurricane wind risk forecasting model for wood-frame houses. Risk Analysis 2007; 27(1):45-58.
7. Chang S, Shinozuka M, Moore J. Probabilistic earthquake scenarios: extending risk analysis methodologies to spatially distributed systems. Earthquake Spectra 2000; 16(3):557-572.
8. Campbell K, Seligson H. Quantitative method for developing hazard-consistent earthquake scenarios. Proceedings of the Technical Council of Lifeline Earthquake Engineering, Long Beach, CA, U.S.A., 2003; 829-838.
9. Lee J, Graf W, Somerville P, O'Rourke T, Shinozuka M. Developing a hazard-consistent table of earthquake scenarios for risk analysis of the LADWP water systems. Final Report to the Los Angeles Department of Water and Power, 2005.
10. Vaziri P, Davidson R, Apivatanagul P, Nozick L. Identification of optimization-based probabilistic earthquake scenarios for regional loss estimation. Journal of Earthquake Engineering 2012; 16(2):296-315.
11. Jayaram N, Baker J. Efficient sampling and data reduction techniques for probabilistic seismic lifeline risk assessment. Earthquake Engineering and Structural Dynamics 2010; 39(10):1109-1131.
12. Wesson R, Perkins D. Spatial correlation of probabilistic earthquake ground motion and loss. Bulletin of the Seismological Society of America 2001; 91(6):1498-1515.
13. Crowley H, Bommer J. Modelling seismic hazard in earthquake loss models with spatially distributed exposure. Bulletin of Earthquake Engineering 2006; 4:249-73.
14. Bommer J, Crowley H. The influence of ground-motion variability in earthquake loss modelling. Bulletin of Earthquake Engineering 2006; 4:231-248.
15. Jayaram N, Baker J. Correlation model for spatially distributed ground-motion intensities. Earthquake Engineering and Structural Dynamics 2009; 38:1687-1708.
16. Dodo A, Xu N, Davidson R, Nozick L. Optimizing regional earthquake mitigation investment strategies. Earthquake Spectra 2005; 21(2):305-327.
17. Çaǧnan Z, Davidson R, Guikema S. Post-earthquake restoration planning for Los Angeles electric power. Earthquake Spectra 2006; 22(3):1-20.
18. Shiraki N, Shinozuka M, Hon M, Moore II J, Chang S, Kameda H, Tanaka S. System risk curves: probabilistic performance scenarios for highway networks subject to earthquake damage. Journal of Infrastructure Systems 2007; 13(1):43-54.
19. Kiremidjian A, Stergiou E, Lee R. Issues in seismic risk assessment of transportation networks. Earthquake Geotechnical Engineering. Springer: Dordrecht, 2007; 461-480.
20. Legg M, Nozick L, Davidson R. Optimizing the selection of hazard-consistent probabilistic scenarios for long-term regional hurricane loss estimation. Structural Safety 2010; 32(1):90-100.
21. Apivatanagul P, Davidson R, Blanton B, Nozick L. Long-term regional hurricane hazard analysis for wind and storm surge. Coastal Engineering 2011; 58(6):499-509.
22. Cochran W. Sampling Techniques (3rd edn). Wiley: New York, 1977.
23. Neyman J. On the two different aspects of the representative method: the method of stratified sampling and the method of purposive selection. Journal of the Royal Statistical Society 1934; 97:558-606.
24. McQueen J. Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, CA, U.S.A., 1967.
25. U.S. Census. http://quickfacts.census.gov [13 July 2011].
26. Petersen M, Frankel A, Harmsen S, Mueller C, Haller K, Wheeler R, Wesson R, Zeng Y, Boyd O, Perkins D, Luco N, Field E, Wills C, Rukstales K. Documentation for the 2008 Update of the United States National Seismic Hazard Maps. Open-File Report 2008-1128, 2008; 128 p.
27. Hanks T, Bakun W. A bilinear source-scaling model for M-log A observations of continental earthquakes. Bulletin of the Seismological Society of America 2002; 92:1841-1846.
28. Ellsworth W. Appendix D-magnitude and area data for strike slip earthquakes. In Working Group on California Earthquake Probabilities, Earthquake probabilities in the San Francisco Bay Region-2002-2031: U.S. Geological Survey Open-File Report, 03-214, 2003; 6 p.
29. Boore DM, Atkinson GM. Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01s and 10.0 s. Earthquake Spectra 2008; 24(1):99-138.
30. Campbell KW, Bozorgnia Y. NGA ground motion model for the geometric mean horizontal component of PGA, PGV, PGD and 5% damped linear elastic response spectra for periods ranging from 0.01 to 10.0 s. Earthquake Spectra 2008; 24(1):139-171.
31. Chiou B, Youngs R. An NGA model for the average horizontal component of peak ground motion and response spectra. Earthquake Spectra 2008; 24(1):173-215.
32. Wills C, Clahan K. Developing a map of geologically defined site-condition categories for California. Bulletin of the Seismological Society of America 2006; 96(4A):1483-1501.
33. Magistrale H, Day S, Clayton R, Graves R. The SCEC Southern California reference three-dimensional seismic velocity model version 2. Bulletin of the Seismological Society of America 2000; 90(6B):S65-S76.