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Abstract
The paper applies the Structure from Motion photogrammetry technique to measure three-dimensional shrinkage deformations of a cylindrical specimen during drying. A clay–binder mixture was statically compacted, and its shrinkage behaviour was observed for four weeks with a newly established photogrammetric system. The complete surface information including XYZ coordinates and RGB values was then reconstructed and formed into dense point cloud data, with which the volume change and shrinkage deformations are computed. In volume change determination, the reconstructed dense point cloud achieves a fine reproduction of the specimen surface, leading to satisfactory accuracy. The computed volume deviation was within 495.3 mm3 (0.24%) and 4170 mm3 (1.83%) for the dummy cylinder and clay specimen, respectively. Both values are significantly smaller than the volume deviations computed with a classical approach that involves artificially creating markers on the specimen surface. In the computation of shrinkage deformations, the paper proposes a novel method that detects the fast point feature histogram of the point clouds and then matches the detected descriptors, leading to an improvement in three-dimensional deformation determination. The compacted sample shrinks, and the computed axial deformations increase quasi-linearly with height. However, due to the noticeable tilt that occurred during drying, the calculated radial deformations are scattered at the same height and appear misleading. Circumferential deformations and strains are therefore adopted to represent the true material behaviour.
Original language | English |
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Pages (from-to) | 5319-5339 |
Number of pages | 21 |
Journal | Acta Geotechnica |
Volume | 18 |
Issue number | 10 |
Early online date | 11 May 2023 |
DOIs | |
Publication status | Published - Oct 2023 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Compacted soft clay
- Drying path
- Shrinkage deformation
- Structure from Motion photogrammetry
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GEOMEASURE/Solowski: Foundations for green offshore energy production in Finland: from marine investigations to the numerical estimation of undrained shear strength of the seabed deposit layers under cycling loading
Sołowski, W. (Principal investigator), Li, Z. (Project Member), Mohapatra, D. (Project Member), Mohammadi Hasanbarough, S. (Project Member), Gupta, A. (Project Member), Khalili, R. (Project Member) & Ruan, C. (Project Member)
EU The Recovery and Resilience Facility (RRF)
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding