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PRJ-4128 | Research Experiences for Undergraduates (REU), NHERI 2023: Mayfield Clothing Mill Deviation Analysis and Conversion of Point Cloud Model to FEM
Cite This Data:
Whitesides, E., S. Kaushal, R. Napolitano, J. Wartman (2023). Research Experiences for Undergraduates (REU), NHERI 2023: Mayfield Clothing Mill Deviation Analysis and Conversion of Point Cloud Model to FEM. DesignSafe-CI. https://doi.org/10.17603/ds2-f3pq-dn68

Authors; ; ;
Data Type(s)Research Experience for Undergraduates
Natural Hazard Type(s)Tornado
Date of Publication2023-09-02
Awards
NSF, Natural Hazards Engineering Research Infrastructure, Network Coordination Office | 2129782
Related Work
KeywordsRAPID, Point Cloud, Finite Element Model, FEM, Deviation Analysis, Tornado Damage, Mayfield, Masonry Buildings, TLS, UAV, Cloud2FEM
DOI10.17603/ds2-f3pq-dn68
License
 Creative Commons Attribution
Description:

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.

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