Abstract

Tornado fatality rates in the southeastern United States are higher than those in Tornado Alley, despite Tornado Alley having a higher frequency of tornadoes. A major contributing factor is the large number of mobile and manufactured homes (MMHs) in the southeastern states. Forensic engineering assessments of tornado damage have consistently shown that inadequate anchoring of MMHs or the absence of proper anchoring has been the primary cause of structural failure. To properly design a MMH anchorage system to resist tornadic winds, it is imperative to have accurate knowledge of the tornadic wind effects on the MMH systems. In this study, tornado–MMH interactions are investigated using high-fidelity numerical simulations. The pressure distribution on the MMH surface and the total forces/moments on the entire MMH induced by tornadic winds are obtained. In addition, simulations are conducted to reveal (1) the difference in tornadic wind effects between a MMH and its associated permanent home (home with classical on-site construction), and (2) the difference in wind effects between tornadic winds and the equivalent straight-line winds. The latter of these comparisons is intended to provide information on the unconservative use of straight-line wind loading for MMHs. The simulation results (peak wind pressure and total forces/moments on the MMH) are compared between the tornadic wind field and straight-line wind field. The comparison indicates that the results caused by the tornado are higher. Under a tornadic wind field, compared with the permanent home (PH), the peak pressure and horizontal forces on the MMH are smaller because of the existence of open space under the MMH. Although the research findings here demonstrate the limitation of US code for MMHs, a great number of simulation cases with the related uncertainties involved will be needed to be run to improve the US code.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request:
1.
Numerical tornado models in ANSYS FLUENT.
2.
Data postprocessing MATLAB code.

Acknowledgments

The authors greatly appreciate the financial support from the VORTEX-SE Program within the NOAA/OAR Office of Weather and Air Quality under Grant No. NA20OAR4590452. The authors also greatly appreciate the financial support from National Science Foundation, through the project, “Damage and Instability Detection of Civil Large-scale Space Structures under Operational and Multi-hazard Environments” (Award No. 1455709), and two other projects (Nos. 1940192 and 2044013).

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 149Issue 12December 2023

History

Received: Dec 13, 2022
Accepted: Aug 3, 2023
Published online: Oct 6, 2023
Published in print: Dec 1, 2023
Discussion open until: Mar 6, 2024

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Postdoctoral Researcher, Center for Hazard Mitigation and Community Resilience, Missouri Univ. of Science and Technology, Rolla, MO 65409. ORCID: https://orcid.org/0000-0003-4670-0582. Email: [email protected]
Guirong Yan, M.ASCE [email protected]
Associate Professor, Dept. of Civil, Architectural and Environmental Engineering, Missouri Univ. of Science and Technology, Rolla, MO 65409 (corresponding author). Email: [email protected]
Jiamin Dang, S.M.ASCE [email protected]
Ph.D. Student, Dept. of Civil, Architectural and Environmental Engineering, Missouri Univ. of Science and Technology, Rolla, MO 65409. Email: [email protected]
John W. van de Lindt, F.ASCE [email protected]
Harold H. Short Endowed Chair Professor, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80523. Email: [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Washington State Univ., Pullman, WA 99164. ORCID: https://orcid.org/0000-0003-2313-8371. Email: [email protected]
Daphne S. LaDue [email protected]
Senior Research Scientist, Center for Analysis and Prediction of Storms, Univ. of Oklahoma, Norman, OK 73072. Email: [email protected]
Cassandra A. Shivers-Williams [email protected]
Social Science Deputy Program Manager, Weather Program Office, National Oceanic and Atmospheric Administration, 1315 East-West Highway, Silver Spring, MD 20910; Cooperative Institute for Severe and High-Impact Weather Research and Operations, Norman, OK 73072; National Severe Storms Laboratory, National Oceanic and Atmospheric Administration, Norman, OK 73072. Email: [email protected]

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