Optical Flow Method for Measuring Deformation of Soil Specimen Subjected to Torsional Shearing
Autor: | Piotr E. Srokosz, Rafał Ossowski, Marta Bocheńska, Marcin Bujko |
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Rok vydání: | 2021 |
Předmět: |
Shearing (physics)
FOS: Computer and information sciences Materials science Applied Mathematics Computer Vision and Pattern Recognition (cs.CV) 020208 electrical & electronic engineering 010401 analytical chemistry Isotropy Optical flow Computer Science - Computer Vision and Pattern Recognition 02 engineering and technology Mechanics Deformation (meteorology) Condensed Matter Physics 01 natural sciences Displacement (vector) 0104 chemical sciences Shear modulus Computational Engineering Finance and Science (cs.CE) Particle image velocimetry Deformation mechanism 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Computer Science - Computational Engineering Finance and Science Instrumentation |
DOI: | 10.48550/arxiv.2101.07005 |
Popis: | In this study optical flow method was used for soil small deformation measurement in laboratory tests. The main objective was to observe how the deformation distributes along the whole height of cylindrical soil specimen subjected to torsional shearing (TS test). The experiments were conducted on dry non-cohesive soil specimens under two values of isotropic pressure. Specimens were loaded with low-amplitude cyclic torque to analyze the deformation within the small strain range (0.001-0.01%). Optical flow method variant by Ce Liu (2009) was used for motion estimation from series of images. This algorithm uses scale-invariant feature transform (SIFT) for image feature extraction and coarse-to-fine matching scheme for faster calculations. The results were validated with the Particle Image Velocimetry (PIV). The results show that the displacement distribution deviates from commonly assumed linearity. Moreover, the observed deformation mechanisms analysis suggest that the shear modulus $G$ commonly determined through TS tests can be considerably overestimated. Comment: To appear in Measurement |
Databáze: | OpenAIRE |
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