TY - GEN
T1 - Community resilience assessment of an EF-5 tornado using the IN-CORE modeling environment
AU - Wang, W. T.
AU - van de Lindt, J. W.
AU - Cutler, H.
AU - Rosenheim, N.
AU - Koliou, M.
AU - Lee, J. S.
AU - Calderon, D.
N1 - The Center for Risk-Based Community Resilience Planning is a NIST-funded Center of Excellence; the Center is funded through a cooperative agreement between the U.S. National Institute of Standards and Technology and Colorado State University (NIST Financial Assistance Award Numbers: 70NANB15H044 and 70NANB20H008). The views expressed are those of the presenter and may not represent the official position of the National Institute of Standards and Technology or the US Department of Commerce.
PY - 2020
Y1 - 2020
N2 - Tornadoes occur at a high frequency in the United States compared with other natural hazards but have a substantially smaller footprint. Even a single high-intensity tornado can result in high casualty rates and associated catastrophic economic losses as well as social consequences, particularly for small to medium communities. The city of Joplin, Missouri, USA, was hit by an EF-5 tornado on May 22, 2011. The Center for Risk-Based Community Resilience Planning simulated this event for buildings and the electrical power network of Joplin in an open source computational environment called IN-CORE. The initial damage prediction utilized the tornado path, tornado fragility curves representative of a 19-archetype building dataset, and EPN datasets. The functionality of the infrastructure was linked with a computable general equilibrium (CGE) economics model that computes household income, employment, and domestic supply before and after the tornado event occurrence. Detailed demographic data was allocated to each structure to provide resilience metrics related to population impacts such as population dislocation as a function of tenure status of households. This example demonstrates how users interact with the IN-CORE computational environment.
AB - Tornadoes occur at a high frequency in the United States compared with other natural hazards but have a substantially smaller footprint. Even a single high-intensity tornado can result in high casualty rates and associated catastrophic economic losses as well as social consequences, particularly for small to medium communities. The city of Joplin, Missouri, USA, was hit by an EF-5 tornado on May 22, 2011. The Center for Risk-Based Community Resilience Planning simulated this event for buildings and the electrical power network of Joplin in an open source computational environment called IN-CORE. The initial damage prediction utilized the tornado path, tornado fragility curves representative of a 19-archetype building dataset, and EPN datasets. The functionality of the infrastructure was linked with a computable general equilibrium (CGE) economics model that computes household income, employment, and domestic supply before and after the tornado event occurrence. Detailed demographic data was allocated to each structure to provide resilience metrics related to population impacts such as population dislocation as a function of tenure status of households. This example demonstrates how users interact with the IN-CORE computational environment.
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U2 - 10.1201/9780429343292-49
DO - 10.1201/9780429343292-49
M3 - Conference contribution
AN - SCOPUS:85112782515
T3 - Life-Cycle Civil Engineering: Innovation, Theory and Practice - Proceedings of the 7th International Symposium on Life-Cycle Civil Engineering, IALCCE 2020
SP - 394
EP - 398
BT - Life-Cycle Civil Engineering
A2 - Chen, Airong
A2 - Ruan, Xin
A2 - Frangopol, Dan M.
PB - CRC Press/Balkema
T2 - 7th International Symposium on Life-Cycle Civil Engineering, IALCCE 2020
Y2 - 27 October 2020 through 30 October 2020
ER -