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Deflection Measurement through 3D Point Cloud Analysis

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dc.contributor.advisor Lattanzi, David
dc.contributor.author Moghaddame-Jafari, Bahman
dc.creator Moghaddame-Jafari, Bahman
dc.date 2016-12-19
dc.date.accessioned 2017-12-07T21:21:53Z
dc.date.available 2017-12-07T21:21:53Z
dc.identifier doi:10.13021/G8BQ2Q
dc.identifier.uri https://hdl.handle.net/1920/10810
dc.description.abstract Point cloud technology is now used in inspection of bridges and tunnels where it is desired to remotely measure the structure’s movements such as settlements and member deformations. Current methods of point cloud analysis for measuring structural deflections require meshing or line/curve fitting to the point cloud data. This step adds an error to the overall accuracy of this technology and is not computationally stable. This study presents a novel method in measuring structural deflections through a per-point sampling method in which the point cloud is directly analyzed without the need for meshing or line/curve fitting. The 3D point cloud data is collected using Photogrammetry and the Structure-from-Motion (SfM) algorithm. The deflections are computed using Cloud-to-Cloud (C2C) distance measurement and Multiscale Model to Model Cloud Comparison (M3C2) algorithms. Through three-point flexural testing, series of aluminum specimens were deflected for validation. Two different statistical methods were used to determine the deflections along the member. The results indicate sub-millimeter accuracy in measuring vertical deflection. Furthermore, results suggest that this technique can be a tool to update locally the structure’s Finite Element Model to account for deformations in the structure.
dc.language.iso en en_US
dc.subject 3D point cloud analysis en_US
dc.subject Structure-from-Motion en_US
dc.subject beam deflection measurement en_US
dc.subject photogrammetry en_US
dc.subject point cloud comparison en_US
dc.subject structural health monitoring en_US
dc.title Deflection Measurement through 3D Point Cloud Analysis en_US
dc.type Thesis en_US
thesis.degree.name Master of Science in Civil and Infrastructure Engineering en_US
thesis.degree.level Master's en_US
thesis.degree.discipline Civil and Infrastructure Engineering en_US
thesis.degree.grantor George Mason University en_US


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