Date

2021-4-8

Author

Oytun, Mert

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Cracks are the most common and crucial indicators giving clues about the as-is condition of structures. Moreover,they have always been a major concern for public safety, as they are pioneers that point to issues in buildings and have been sought to be identified and analyzed. Today, the most common way of deformation analysis highly depends on manual inspection methods, mostly criticized for being highly subjective, time-consuming, and error-prone. Accordingly, perpetual improvement has been observed in the building inspection and damage assessment using different tools and methods until today. Nevertheless, in the last decade, 3D Terrestrial Laser Scanners (TLSs) usage in deformation analysis has gained considerable popularity among other remote sensing tools due to its high accuracy and reliability rates. However, the change in scan data quality based on changes in scanning and material settings has limited the use of TLS and has shown the necessity of research on this subject.The main purpose of this research is to compare data sets of various building materials captured with different scan settings of TLS (scanning distance, resolution, and incidence angle) and to evaluate dimensional measurement accuracy in the context of crack detection. In this study,the error quantification in the crack measurement of the three most commonly used building materials (reinforced concrete, wood, and masonry brick) using TLS is performed. The proposed framework includes laboratory experiments, data processing, comparative analyses, and derivation of error estimation equations of scan data quality as a function of scanning distance, crack width, and incidence angle for each material type. The findings contributed to the literature both theoretically and practically by (1) empirically addressing the level of combined effects of the scan settings on scan data quality and (2) providing outcomes that would facilitate the optimization of laser scan planning.

Subject Keywords

Error Quantification, Health Monitoring, Structural, Point Cloud, 3D Terrestrial Laser Scanning, Crack Measurement

URI

https://hdl.handle.net/11511/89740

Collections

Graduate School of Natural and Applied Sciences, Thesis