Understanding the mechanisms of root-reinforcement in soils: soil shear tests using X-ray computed tomography and digital volume correlation
Understanding the mechanisms of root-reinforcement in soils: soil shear tests using X-ray computed tomography and digital volume correlation
Soil containing plant roots may be expected to exhibit a greater shearing resistance compared with the same ‘unreinforced’ soil, providing enhanced stability and effective erosion control, particularly for earth slopes. To be able to rely on the improved shearing resistance and stiffness of root-reinforced soils, it is important to understand and quantify the effectiveness of root reinforcement. This requires sophisticated multiscale models, building understanding at different length scales, from individual soil-root interaction through to full soil-profile or slope scale. One of the challenges with multiscale models is ensuring that they are representative of real behaviour, and this requires calibration to detailed high-quality experiments. The focus of the work presented was to capture and quantify root-reinforcement behaviour and associated soil and root deformation mechanisms during direct shear at the macroscopic to millimetre length scales. A novel shear box was developed to operate within a large-scale X-ray computed tomography (CT) scanner. Tests were interrupted to be scanned at a series of shear displacements from 0-20 mm to capture the chronology of behaviour in three-dimensions. Digital volume correlation (DVC) was applied to the CT dataset to obtain full-field 3D displacement and strain component information. The study demonstrates feasibility of the technique and presents preliminary DVC results.
Bull, Daniel
3569ba02-89de-4398-a14d-02c3f9b4eab2
Sinclair, Ian
6005f6c1-f478-434e-a52d-d310c18ade0d
Pierron, Fabrice
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Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Smethurst, Joel
8f30880b-af07-4cc5-a0fe-a73f3dc30ab5
Bull, Daniel
3569ba02-89de-4398-a14d-02c3f9b4eab2
Sinclair, Ian
6005f6c1-f478-434e-a52d-d310c18ade0d
Pierron, Fabrice
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe
Smethurst, Joel
8f30880b-af07-4cc5-a0fe-a73f3dc30ab5
Bull, Daniel, Sinclair, Ian, Pierron, Fabrice, Roose, Tiina and Smethurst, Joel
(2019)
Understanding the mechanisms of root-reinforcement in soils: soil shear tests using X-ray computed tomography and digital volume correlation.
E3S Web of Conferences, 92, [12009].
(doi:10.1051/e3sconf/20199212009).
Abstract
Soil containing plant roots may be expected to exhibit a greater shearing resistance compared with the same ‘unreinforced’ soil, providing enhanced stability and effective erosion control, particularly for earth slopes. To be able to rely on the improved shearing resistance and stiffness of root-reinforced soils, it is important to understand and quantify the effectiveness of root reinforcement. This requires sophisticated multiscale models, building understanding at different length scales, from individual soil-root interaction through to full soil-profile or slope scale. One of the challenges with multiscale models is ensuring that they are representative of real behaviour, and this requires calibration to detailed high-quality experiments. The focus of the work presented was to capture and quantify root-reinforcement behaviour and associated soil and root deformation mechanisms during direct shear at the macroscopic to millimetre length scales. A novel shear box was developed to operate within a large-scale X-ray computed tomography (CT) scanner. Tests were interrupted to be scanned at a series of shear displacements from 0-20 mm to capture the chronology of behaviour in three-dimensions. Digital volume correlation (DVC) was applied to the CT dataset to obtain full-field 3D displacement and strain component information. The study demonstrates feasibility of the technique and presents preliminary DVC results.
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e-pub ahead of print date: 25 June 2019
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Local EPrints ID: 432476
URI: http://eprints.soton.ac.uk/id/eprint/432476
ISSN: 2267-1242
PURE UUID: 863467bb-0fec-493b-8e9f-978fcc64cf2d
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Date deposited: 17 Jul 2019 16:30
Last modified: 12 Aug 2024 01:36
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