Abstract
In December 2021, an EF-4 tornado swept through several Midwest states in the United States, with Kentucky being the worst hit. Among the impacted towns was Mayfield, KY, where the historic buildings in downtown suffered significant damage. In response to this disaster, the authors conducted a reconnaissance mission to digitally document the affected historic structures. This involved capturing a series of three-dimensional (3D) point clouds, providing detailed spatial data about the impacted buildings. The resulting data set includes both the original raw data and processed information, now accessible via the DesignSafe open-access repository. This paper outlines the data collection process for the impacted buildings, and the steps undertaken to process it. The final product of this endeavor are the point clouds generated for the historic building typology, which included 10 historic buildings and 2 comparable religious buildings. These point clouds serve as invaluable resources for further analysis, aiding in understanding a disaster’s impact, and guiding restoration endeavors.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. The raw, processed, and final data mentioned in this study is available on DesignSafe repository under Project No. PRJ-3417 (https://www.designsafe-ci.org/data/browser/public/designsafe.storage.published/PRJ-3417).
Acknowledgments
This material is based upon work supported by the National Science Foundation under Grant Nos. IIS-2123343 and CMMI 2222849. Any opinions, findings, conclusions, or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation. This material was also supported by the work done by Keely Patelski from Texas Tech University. The larger team that helped collect the data was Professor Thomas Boothby and graduate students from Penn State University including Daniele Melo Santos Paulino, Muhammad Rakeh Saleem, Mina Savaroliya, Alejandro Palacio-Bentacur, and David E. Caballero-Russi. The authors acknowledge the data collection by undergraduate student Garrett Demaree from the University of Kentucky. The authors also acknowledge the members of the RAPID team, Andrew Lyda, Karen Dedinsky, and Professor Jeffery W. Berman from the University of Washington, who helped collect and process the data.
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Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 150 • Issue 10 • October 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Dec 23, 2023
Accepted: Mar 28, 2024
Published online: Jul 27, 2024
Published in print: Oct 1, 2024
Discussion open until: Dec 27, 2024
ASCE Technical Topics:
- Analysis (by type)
- Architectural engineering
- Buildings
- Computer networks
- Computing in civil engineering
- Disaster risk management
- Disasters and hazards
- Engineering fundamentals
- Facilities (by type)
- Historic buildings
- History and Heritage
- Natural disasters
- Practice and Profession
- Religious buildings
- Spatial analysis
- Spatial data
- Structural engineering
- Structures (by type)
- Tornadoes
Authors
Metrics & Citations
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