Resilience quantification and its application to a residential building subject to hurricane winds

Berna Eren Tokgoz , Adrian V. Gheorghe

International Journal of Disaster Risk Science ›› 2013, Vol. 4 ›› Issue (3) : 105 -114.

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International Journal of Disaster Risk Science ›› 2013, Vol. 4 ›› Issue (3) : 105 -114. DOI: 10.1007/s13753-013-0012-z
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Resilience quantification and its application to a residential building subject to hurricane winds

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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.

Keywords

building resilience / HAZUS / hurricanes / probabilistic resilience

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Berna Eren Tokgoz, Adrian V. Gheorghe. Resilience quantification and its application to a residential building subject to hurricane winds. International Journal of Disaster Risk Science, 2013, 4(3): 105-114 DOI:10.1007/s13753-013-0012-z

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