TY - JOUR
T1 - Performance of Hurricane-Resistant Housing during the 2022 Arabi, Louisiana, Tornado
AU - Roueche, David B.
AU - Chen, Guangzhao
AU - Soto, Mariantonieta Gutierrez
AU - Kameshwar, Sabarethinam
AU - Safiey, Amir
AU - Do, Trung
AU - Lombardo, Franklin T.
AU - Nakayama, Jordan O.
AU - Rittelmeyer, Brandon M.
AU - Palacio-Betancur, Alejandro
AU - Demaree, Garrett
N1 - Publisher Copyright:
© 2024 This work is made available under the terms of the Creative Commons Attribution 4.0 International license.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - Mitigating tornado damage remains a critical challenge for communities throughout much of the United States. Enhanced construction techniques typically used in hurricane-prone regions are often recommended as at least part of the solution, but the effectiveness of these techniques lacks empirical evaluation. This study investigates the performance of modern wood-frame residential structures in Arabi, LA, constructed to hurricane-resistant standards, that were impacted by a strong tornado on March 22, 2022. Field teams deployed beginning March 25, 2022, just three days after the tornado touched down, capturing perishable data on the building performance using vehicle-mounted surface-level panoramic cameras, forensic engineering investigations, and unmanned aerial systems. This paper describes the field deployments and identifies common failure mechanisms observed by the field teams. Analytical fragility functions are developed based on the load path observations and compared to empirical fragility functions generated from linking the building performance observations with wind speed estimates at each building derived from a parametric wind field model conditioned to tree-fall patterns. The study finds that despite the frequent use of hurricane-resistant hardware, such as hurricane straps and anchor bolts, key weak links elsewhere in the load path compromised the resistance and led to premature failures. The agreement between the empirically- and analytically-derived fragility functions was lacking, demonstrating the challenges that remain in understanding near-surface tornado wind loading and structural response. Nonetheless, the study provides a consensus framework for future tornado assessments that can help improve our understanding of tornado loading through the utilization of reconnaissance data. Further, the study findings on deficiencies in the load paths of homes in hurricane-prone regions have practical value to risk assessments and future construction practices.
AB - Mitigating tornado damage remains a critical challenge for communities throughout much of the United States. Enhanced construction techniques typically used in hurricane-prone regions are often recommended as at least part of the solution, but the effectiveness of these techniques lacks empirical evaluation. This study investigates the performance of modern wood-frame residential structures in Arabi, LA, constructed to hurricane-resistant standards, that were impacted by a strong tornado on March 22, 2022. Field teams deployed beginning March 25, 2022, just three days after the tornado touched down, capturing perishable data on the building performance using vehicle-mounted surface-level panoramic cameras, forensic engineering investigations, and unmanned aerial systems. This paper describes the field deployments and identifies common failure mechanisms observed by the field teams. Analytical fragility functions are developed based on the load path observations and compared to empirical fragility functions generated from linking the building performance observations with wind speed estimates at each building derived from a parametric wind field model conditioned to tree-fall patterns. The study finds that despite the frequent use of hurricane-resistant hardware, such as hurricane straps and anchor bolts, key weak links elsewhere in the load path compromised the resistance and led to premature failures. The agreement between the empirically- and analytically-derived fragility functions was lacking, demonstrating the challenges that remain in understanding near-surface tornado wind loading and structural response. Nonetheless, the study provides a consensus framework for future tornado assessments that can help improve our understanding of tornado loading through the utilization of reconnaissance data. Further, the study findings on deficiencies in the load paths of homes in hurricane-prone regions have practical value to risk assessments and future construction practices.
KW - Fragility function
KW - Load path
KW - Reconnaissance
KW - Tornado
KW - Wind speed estimation
KW - Wood-frame
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U2 - 10.1061/JSENDH.STENG-12986
DO - 10.1061/JSENDH.STENG-12986
M3 - Article
AN - SCOPUS:85185886103
SN - 0733-9445
VL - 150
JO - Journal of Structural Engineering (United States)
JF - Journal of Structural Engineering (United States)
IS - 5
M1 - 04024029
ER -