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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
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 Publication | 2023-09-02 |
Facilities | |
Awards | NSF, Natural Hazards Engineering Research Infrastructure, Network Coordination Office | 2129782 |
Related Work | |
Keywords | RAPID, Point Cloud, Finite Element Model, FEM, Deviation Analysis, Tornado Damage, Mayfield, Masonry Buildings, TLS, UAV, Cloud2FEM |
DOI | 10.17603/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.