Since the safety and serviceability of structures are always an important issue the examination of structures using field experiments has been emphasized Digital LIDAR (Light Detection and Ranging) is an innovated instrument to measure the structural deformation However there are shortcomings of the digital LIDAR and the most serious one is the non-uniform density of point cloud data which are generated randomly with position accuracy ±6mm In this thesis we use numerical methods including the Lagrange interpolation and the digital image correlation to decrease the errors and present a computational model to estimate the deformed shapes of structures using the 3D coordinate information To use the intensity and RGB data of LIDAR for the image correlation the displacement accuracy of LIDAR image analysis can be obtained from the experiment testing by comparing the displacement obtained from an LVDT In order to analyze structural deformation by LIDAR the point cloud data are re-arranged by two post-processing programs including the interpolation program LIDAR01 and the image correlation program CCD82 Displacements then can be calculated automatically by finding the image correlation subsets before and after deformation The numerical results are good by the intensity analysis to measure the structural deformation with obvious random patterns in the structure
Date of Award | 2015 Aug 13 |
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Original language | English |
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Supervisor | Shen-Haw Ju (Supervisor) |
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Study of Structural Deformation Measurement Using Digital LIDAR
俊彥, 蔡. (Author). 2015 Aug 13
Student thesis: Master's Thesis