Memari M, Attary N, Masoomi H, Mahmoud H, van de Lindt JW, Pilkington S, Ameri MR (2018) Minimal building fragility portfolio for damage assessment of communities subjected to tornadoes. Wind Science and Engineering Center, Texas Tech University McDonald JR, Mehta KC (2006) A recommendation for an Enhanced Fujita scale (EF-Scale). Masoomi H, Ameri MR, van de Lindt JW (2018) Wind performance enhancement strategies for wood-frame buildings. Masoomi H, van de Lindt JW (2016) Tornado fragility and risk assessment of an archetype masonry school building. Lombardo FT, Roueche DB, Prevatt DO (2015) Comparison of two methods of near-surface wind speed estimation in the 22 May, 2011 Joplin, Missouri Tornado. National Construction Safety Team Act Reports (NIST NCSTAR)-3 Kuligowski ED, Lombardo FT, Phan LT, Levitan ML, Jorgensen DP (2014) Final Report, National Institute of Standards and Technology (NIST) technical investigation of the May 22, 2011, Tornado in Joplin, Missouri. Koliou M, Masoomi H, van de Lindt JW (2017) Performance assessment of tilt-up big-box buildings subjected to extreme hazards: tornadoes and earthquakes. Hamilton SR (2011) Performance-based fire engineering for steel framed structures: a probabilistic methodology. Federal Emergency Management Agency, Washington, DC J Struct Eng 130(12):1921–1930įEMA (2011) The response to the 2011 Joplin, Missouri, Tornado lessons learned study. In: Pacific conference on earthquake engineering, Citeseer, pp 1–8Įllingwood BR, Rosowsky DV, Li Y, Kim JH (2004) Fragility assessment of light-frame wood construction subjected to wind and earthquake hazards. ASCE, pp 989–998ĭeierlein G, Krawinkler H, Cornell C (2003) A framework for performance-based earthquake engineering. Struct Saf 33:367–378Ĭoulbourne WL, Miller J (2012) Performance of school buildings in the Joplin, MO, Tornado. J Nat Hazards Rev (under review)Ĭiampoli M, Petrini F, Augusti G (2011) Performance-based wind engineering: towards a general procedure. Īttary N, van de Lindt JW, Mahmoud H, Smith S (2018) Hindcasting community level damage For The Joplin MO 2011 EF5 Tornado: buildings-electric power network. This damage assessment was done using three hypothetical idealized tornado scenarios, and results show very good correlation with observed damage which will provide useful information to decision makers for community resilience planning.Īttary N, Unnikrishnan VU, van de Lindt JW, Cox DT, Barbosa AR (2017) Performance-based tsunami engineering methodology for risk assessment of structures. The results were compared with the damage reported from field studies following the event. Using IN-CORE, by uploading a detailed topological dataset of the community and the estimated tornado path combined with recently developed physics-based tornado fragilities, the damage caused by the tornado to all buildings in the city of Joplin was estimated. This tornado was the costliest and deadliest single tornado in the USA in the last half century. An explanation of the algorithm used within IN-CORE is also provided. Therefore, in this study, the community of Joplin, Missouri in the USA, which was hit by an EF-5 tornado on May 22, 2011, is modeled in the IN-CORE v1.0 computational environment. However, in order to validate this computational tool, hindcasting of a real event was deemed necessary. The developing computational environment will be capable of simulating the effects from different natural hazards on the physical and socioeconomic sectors of a community, accounting for interdependencies between the sectors. The eventual goal was being to integrate a broad range of scientific, engineering and observational data to produce a detailed assessment of the potential impact of natural and man-made hazards for risk mitigation, planning and recovery purposes. The purpose of developing this computational environment is to build a decision-support system, for professional risk planners and emergency responders, but even more focused on allowing researchers to explore community resilience science. The Center for Risk-Based Community Resilience Planning, headquartered at Colorado State University in Fort Collins, Colorado, developed an Interdependent Networked Community Resilience (IN-CORE) computational environment. These tools can provide community decision makers key information, thereby providing them the ability to consider an array of mitigation and/or recovery strategies. Resiliency of communities prone to natural hazards can be enhanced through the use of risk-informed decision-making tools.
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