Resilience Quantification and Its Application to a Residential Building Subject to Hurricane Winds

Berna Eren Tokgoz; Adrian V. Gheorghe

doi:10.1007/s13753-013-0012-z

Article Contents

Article Navigation > International Journal of Disaster Risk Science > 2013 > 4(3): 105-114

Berna Eren Tokgoz, Adrian V. Gheorghe. Resilience Quantification and Its Application to a Residential Building Subject to Hurricane Winds[J]. International Journal of Disaster Risk Science, 2013, 4(3): 105-114. doi: 10.1007/s13753-013-0012-z

Citation:

Berna Eren Tokgoz, Adrian V. Gheorghe. Resilience Quantification and Its Application to a Residential Building Subject to Hurricane Winds[J]. International Journal of Disaster Risk Science, 2013, 4(3): 105-114. doi: 10.1007/s13753-013-0012-z

Citation:

PDF

Resilience Quantification and Its Application to a Residential Building Subject to Hurricane Winds

doi: 10.1007/s13753-013-0012-z

Department of Engineering Management and Systems Engineering, Old Dominion University, Norfolk, VA 23529, USA

Available Online: 2021-04-26

Abstract

Abstract

In order to overcome negative consequences of a disaster, buildings and infrastructures need to be resilient. After a disaster occurs, they must get back to their normal operations as quickly as possible. Buildings and infrastructures should incorporate both pre-event (preparedness and mitigation) and post-event (response and recovery) resilience activities to minimize negative effects of a disaster. Quantitative approaches for measuring resilience for buildings and infrastructures need to be developed. A proposed methodology for quantification of resilience of a given building type based on different hurricane categories is presented. The formulation for the resilience quantification is based on a model embedding several distinct parameters (for example, structural loss ratios, conditional probabilities of exceeding for damage states, estimated and actual recovery times, wind speed probability). The proposed resilience formulation is applied to a residential building type selected from HAZUS.i Numerical results of resilience for the selected residential building type against Category 1, 2, and 3 hurricanes are presented in a dashboard representation. Resilience performance indicators between different types of buildings, which are identical except for their roof types, have been evaluated in order to present applicability of the proposed methodology.
- building resilience,
- HAZUS,
- hurricanes,
- probabilistic resilience

FullText(HTML)

References(32)

References

Batts, M. E., M. R. Cordes, L. R. Russell, J. R. Shaver, and E. Simiu. 1980. Hurricane Wind Speeds in the United States. Report No. BSS-124. Washington, DC:National Bureau of Standards, U.S. Department of Commerce.

Bruneau, M., S. Chang, R. Eguchi, G. Lee, T. O'Rourke, A. Reinhorn, M. Shinozuka, K. Tierney, W. Wallace, and D. von Winterfelt. 2003. A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities. EERI Spectra Journal 19(4):733-752.

Bruneau, M., and A. Reinhorn. 2007. Exploring the Concept of Seismic Resilience for Acute Care Facilities. EERI Spectra Journal 23(1):41-62.

Carlson, L., G. Bassett, W. Buehring, M. Collins, S. Folga, B. Haffenden, F. Petit, J. Phillips, D. Verner, and R. Whitfield. 2012. Resilience:Theory and Applications. Argonne, IL:Decision and Information Sciences Division, Argonne National Laboratory.

Chang, S. E., and M. Shinozuka. 2004. Measuring Improvements in the Disaster Resilience of Communities. Earthquake Spectra 20(3):739-755.

Cimellaro, G. P. 2008a. Improving Seismic Resilience of Structural Systems through Integrated Design of Smart Structures. Ph.D. Dissertation. University of Buffalo SUNY. Available from ProQuest Dissertations and Theses Database. UMI No. 3291587.

Cimellaro, G. P. 2008b. Seismic Resilience of a Regional System of Hospitals. Multidisciplinary Center for Earthquake Engineering Research (MCEER) publication. http://mceer.buffalo.edu/publications/resaccom/07-SP05/01Cimellaro.pdf.

Cimellaro, G. P., A. M. Reinhorn, and M. Bruneau. 2006. Quantification of Seismic Resilience. Proceedings of the 8th U.S. National Conference on Earthquake Engineering, Paper 1094. San Francisco, California. http://www.eng.buffalo.edu/~bruneau/8NCEE-Cimellaro%20Reinhorn%20Bruneau.pdf.

Cimellaro, G. P., A. M. Reinhorn, and M. Bruneau. 2010. Seismic Resilience of a Hospital System. Structure and Infrastructure Engineering 6(1-2):127-144.

Eren Tokgoz, B. 2012. Probabilistic Resilience Quantification and Visualization Building Performance to Hurricane Wind Speeds. Ph.D. Dissertation. Old Dominion University. Available from ProQuest Dissertations and Theses Database. UMI No. 3531603.

Georgiou, P. N. 1985. Design Wind Speeds in Tropical Cyclone-Prone Regions. Ph.D. Thesis. Faculty of Engineering Science, University of Western Ontario, London, Ontario, Canada.

Georgiou, P. N., A. C. Davenport, and B. J. Vickery. 1983. Design Wind Speeds in Regions Dominated by Tropical Cyclones. Journal of Wind Engineering and Industrial Aerodynamics 13(1-3):139-152.

Henry, D., and J. E. Ramirez-Marquez. 2012. Generic Metrics and Quantitative Approaches for System Resilience as a Function of Time. Reliability Engineering and System Safety 99(1):114-122.

Jain, V. K., R. Davidson, and D. Rosowsky. 2005. Modeling Changes in Hurricane Risk over Time. Natural Hazards Review 6(2):88-96.

Kafali, C., and M. Grigoriu. 2005. Rehabilitation Decision Analysis. ICOSSAR'05:Proceedings of the Ninth International Conference on Structural Safety and Reliability. Rome, Italy.

Li, Y., and B. R. Ellingwood. 2006. Hurricane Damage to Residential Construction in the US:Importance of Uncertainty Modeling in Risk Assessment. Engineering Structures 28(7):1009-1018.

Miles, S. B., and S. E. Chang. 2006. Modeling Community Recovery from Earthquakes. Earthquake Spectra 22(2):439-458.

NAHB (National Association of Home Builders) Research Center. 1993. Assessment of Damage to Single-Family Homes Caused by Hurricanes Andrew and Iniki, Prepared for the U.S. Department of Housing and Urban Development, Office of Policy Development and Research.

Omer, M., R. Nilchiani, and A. Mostashari. 2009. Measuring the Resilience of the Transoceanic Telecommunication Cable System. IEEE Systems Journal 3(3):295-303.

Peterka, J. A., and S. Shahid. 1998. Design Gust Wind Speed in the United States. Journal of Structural Engineering, ASCE 1998.124(2):207-214.

Reed, D. A., K. C. Kapur, and R. D. Christie. 2009. Methodology for Assessing the Resilience of Networked Infrastructure. IEEE Systems Journal 3(2):174-180.

Russell, L. R. 1968. Probability Distributions for Texas Gulf Hurricane Effects of Engineering Interest. Ph.D. Dissertation. Stanford University, Stanford, CA.

Russell, L. R. 1971. Probability Distributions for Hurricane Effects. Journal of Waterways, Harbors, and Coastal Engineering Division 97(1):139-154.

Russell, L. R., and G. F. Schueller. 1974. Probabilistic Models for Texas Gulf Coast Hurricane Occurrences. Journal Petroleum Technology 26(3):279-288.

Tryggvason, B. V., D. Surry, and A. G. Davenport. 1976. Predicting Wind-Induced Response in Hurricane Zones. Journal of Structural Division 102(12):2333-2350.

Twisdale, L. A., and W. L. Dunn. 1983. Extreme Wind Risk Analysis of the Indian Point Nuclear Generation Station. Final Report 44T-2491, Addendum to Report 44T-2171. Research Triangle Institute, Research Triangle Park, NC.

U.S. Department of Homeland Security, Federal Emergency Management Agency. 2009a. Multi-Hazard Loss Estimation Methodology Hurricane Model. HAZUS MR4 Technical Manual. http://www.fema.gov/library/viewRecord.do?id=3729.

U.S. Department of Homeland Security, Federal Emergency Management Agency. 2009b. Multi-Hazard Loss Estimation Methodology Hurricane Model. HAZUS MR4 Technical Manual-Appendices. http://www.fema.gov/library/viewRecord.do?id=3729.

Vickery P. J., P. F. Skerlj, and L. A. Twisdale. 2000. Simulation of Hurricane Risk in the United States Using Empirical Track Modeling Technique. Journal of Structural Engineering 126(10):1222-1237.

Vickery, P. J., P. F. Skerlj, J. Lin, Jr. Twisdale, M. A. Young, and F. M. Lavelle. 2006. HAZUS Hurricane Model Methodology II:Damage and Loss Estimation. Natural Hazards Review 7(2):94-103.

Vickery, P. J., and L. A. Twisdale. 1995a. Wind-Field and Filling Models for Hurricane Wind Speed Predictions. Journal of Structural Engineering 121(11):1700-1709.

Vickery, P. J., and L. A. Twisdale. 1995b. Prediction of Hurricane Wind Speeds in the United States. Journal of Structural Engineering 121(11):1691-1699.

Relative Articles

Supplements(0)

Cited By

Proportional views