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Improved image-based deformation measurement for geotechnical applications

Improved image-based deformation measurement for geotechnical applications
Improved image-based deformation measurement for geotechnical applications

This paper describes and benchmarks a new implementation of image-based deformation measurement for geotechnical applications. The updated approach combines a range of advances in image analysis algorithms and techniques best suited to geotechnical applications. Performance benchmarking of the new approach has used a series of artificial images subjected to prescribed spatially varying displacement fields. An improvement by at least a factor of 10 in measurement precision is achieved relative to the most commonly used particle image velocimetry (PIV) approach for all deformation modes, including rigid-body displacements, rotations, and strains (compressive and shear). Lastly, an example analysis of a centrifuge model test is used to demonstrate the capabilities of the new approach. The strain field generated by penetration of a flat footing and an entrapped sand plug into an underlying clay layer is computed and compared for both the current and updated algorithms. This analysis demonstrates that the enhanced measurement precision improves the clarity of the interpretation.

Digital image correlation, Image analysis, Model tests, Particle image velocimetry
0008-3674
727-739
Stanier, S.A.
b11049bd-44ee-4db9-9e66-a5ea20a3c70b
Blaber, J.
af214bd9-4868-43c8-b453-7fe9db8bca69
Take, W.A.
17ad03bb-864a-49eb-991a-dd21ffe0cf85
White, D.J.
a986033d-d26d-4419-a3f3-20dc54efce93
Stanier, S.A.
b11049bd-44ee-4db9-9e66-a5ea20a3c70b
Blaber, J.
af214bd9-4868-43c8-b453-7fe9db8bca69
Take, W.A.
17ad03bb-864a-49eb-991a-dd21ffe0cf85
White, D.J.
a986033d-d26d-4419-a3f3-20dc54efce93

Stanier, S.A., Blaber, J., Take, W.A. and White, D.J. (2016) Improved image-based deformation measurement for geotechnical applications. Canadian Geotechnical Journal, 53 (5), 727-739. (doi:10.1139/cgj-2015-0253).

Record type: Article

Abstract

This paper describes and benchmarks a new implementation of image-based deformation measurement for geotechnical applications. The updated approach combines a range of advances in image analysis algorithms and techniques best suited to geotechnical applications. Performance benchmarking of the new approach has used a series of artificial images subjected to prescribed spatially varying displacement fields. An improvement by at least a factor of 10 in measurement precision is achieved relative to the most commonly used particle image velocimetry (PIV) approach for all deformation modes, including rigid-body displacements, rotations, and strains (compressive and shear). Lastly, an example analysis of a centrifuge model test is used to demonstrate the capabilities of the new approach. The strain field generated by penetration of a flat footing and an entrapped sand plug into an underlying clay layer is computed and compared for both the current and updated algorithms. This analysis demonstrates that the enhanced measurement precision improves the clarity of the interpretation.

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Stanier et al 2016 AM - Accepted Manuscript
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More information

Accepted/In Press date: 19 October 2015
e-pub ahead of print date: 30 October 2015
Published date: 2016
Keywords: Digital image correlation, Image analysis, Model tests, Particle image velocimetry

Identifiers

Local EPrints ID: 419470
URI: http://eprints.soton.ac.uk/id/eprint/419470
ISSN: 0008-3674
PURE UUID: 9b142d9b-0548-4e1c-b896-0c6c855f57b0
ORCID for D.J. White: ORCID iD orcid.org/0000-0002-2968-582X

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Date deposited: 12 Apr 2018 16:30
Last modified: 15 Sep 2021 02:14

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