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Free, publicly-accessible full text available July 9, 2026
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The process of generating a comprehensive point cloud from the raw data collected at Mayfield involved three distinct steps. Firstly, Pix4D was utilized to process and analyze the data. This was followed by the utilization of Register 360 to further refine and align the collected data. Finally, Cyclone was used to complete the point cloud generation process, ensuring that the resulting point cloud was as detailed and accurate as possible. The combination of these three steps allowed for the creation of a comprehensive point cloud that could be utilized for a variety of applications, ranging from surveying and mapping to construction and design.Damage reconnaissance of historical buildings affected by tornado loadingmore » « less
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Contained within this folder is an exhaustive collection of raw data that was obtained during the on-site data collection process. The data encompasses a range of sources, including aerial imagery, photographs, and LiDAR scans. Each of these sources provides unique information that, when combined, creates a highly detailed representation of the site in question. The aerial imagery captures an overview of the site from a bird's-eye perspective, while the photographs provide a more granular view of specific areas. The LiDAR scans, on the other hand, use laser technology to capture highly accurate data on the contours and elevations of the site. Together, these three sources of data provide a comprehensive understanding of the site that can be utilized for a variety of applications.Damage reconnaissance of historical buildings affected by tornado loadingmore » « less
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Point cloud models of the Mayfield Clothing Mill, a tornado-damaged historic masonry building, are analyzed to understand any possible structural deviations. A point cloud alignment and deviation analysis workflow are described. Cloud2FEM, a point cloud to finite element model (FEM) conversion software, is utilized to generate a FEM for the Clothing Mill. The resulting FEM can be used for structural analysis purposes and be simulated under load conditions to study the structure’s response.more » « less
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Models of 12 historic masonry buildings damaged by an EF4 tornado were created by combining Unmanned Aerial Vehicle Structure-from-Motion (UAV-SfM) and Light Detection and Ranging (LiDAR) point clouds. The building models can be used for a myriad of purposes, such as structural analysis. Additionally, the point cloud combination workflow can be applied to other projects.more » « less
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