Abstract
In this study, the settlement behavior of the embankment due to the surcharge loading have been visually and quantitatively investigated. The spatial variation of settlements of an oversized embankment have been monitored using aerial images taken at intervals. In order to achieve the deformations due to the surcharge loading in the field, two topographical three-dimensional models (before and after surcharge loading), derived from aerial images and ground control points, have been generated and compared. The aerial images were acquired by an unmanned aerial vehicle with autonomous flight capabilities. The topographies were compared by generating two cloud point models. The deformations, determined from the comparison of two cloud points, were visualized by assigning an intensity value, which was calculated based on the three-dimensional variations of each data point. The surficial settlement profiles nearby the surcharge load have been computed. It has been concluded that centimeter level accuracy on surficial settlement has been achieved by low altitude aerial images, although the illumination condition of the area has an influence on the measurements.
Original language | English |
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Title of host publication | Springer Series in Geomechanics and Geoengineering |
Editors | Wei Wu, Hai-Sui Yu |
Publisher | Springer Verlag |
Pages | 720-724 |
Number of pages | 5 |
ISBN (Print) | 9783319971117 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | China-Europe Conference on Geotechnical Engineering, 2016 - Vienna, Austria Duration: 13 Aug 2016 → 16 Aug 2016 |
Publication series
Name | Springer Series in Geomechanics and Geoengineering |
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ISSN (Print) | 1866-8755 |
ISSN (Electronic) | 1866-8763 |
Conference
Conference | China-Europe Conference on Geotechnical Engineering, 2016 |
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Country/Territory | Austria |
City | Vienna |
Period | 13/08/16 → 16/08/16 |
Bibliographical note
Publisher Copyright:© 2018, Springer Nature Switzerland AG.
Keywords
- Geotechnical field test
- Settlement monitoring
- Structure From Motion