Open Collections

Analytical damage quantification method for residential developments subjected to hurricane wind hazards

International Conference on Applications of Statistics and Probability (12th : 2015 : Vancouver, B.C.)

Hurricanes, typhoons, and cyclones (hereafter referred to as “hurricanes”) continue to have a significant impact on residential developments around the world. As more populations continue to migrate into the path of these costly natural hazards, it is becoming increasingly important to develop new methods to quantify damage to residential developments in order to increase the resilience of communities. One way to increase community resilience from a structural engineering standpoint is to limit the damage incurred by a residential development subjected to a hurricane wind event. Previous post-hurricane damage assessments have illustrated the integrity of the building envelope plays a key role in reducing or even eliminating the significant losses typically associated with hurricane wind hazards. In order to assess the post-hurricane state of a residential development, three failure modes common to residential building envelopes are implemented using the axioms of probability to implement an analytical damage quantification method. Results illustrating the implementation of the proposed method will be presented using a probabilistic building envelope failure assessment model applied to a residential development subjected to ten synthetic hurricane events each with a maximum mean wind speed equivalent to a 700-year return period wind speed. Benefits are twofold, as this research provides (1) a useful tool for assessing the state of physical residential developments with information readily available after post-hurricane damage assessments, and (2) the ability to determine the temporal status of a residential development during the recovery process, which is crucial to implement community life-cycle resilience assessments.

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This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.

Vancouver : University of British Columbia Library

10.14288/1.0076238

Non UBC

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/