Scaling relationships for strip fibre reinforced aggregates
Scaling relationships for strip fibre reinforced aggregates
Dataset supporting:
Ajayi, Olufemi et al (2016) Scaling relationships for strip fibre reinforced aggregates. Canadian Geotechnical Journal
Previous research on random fibre reinforced granular materials has shown that the relative dimensions of the grains and fibres significantly affect the macro-mechanical behaviour of the mixture. However, quantitative data are scarce and most previous work has focused on fine to medium sands, leaving uncertainties regarding the applicability of current knowledge to larger size aggregates such as railway ballast. In this paper, triaxial test data on 1/3 and 1/5 scale railway ballast are used to develop scaling relationships for the size and quantity of fibres needed to achieve the same reinforcing effect in granular materials of differing grain size. It is shown that, to maintain consistency across scales, fibre content should be quantified as a numerical (i.e. number of fibres per grain) rather than a volumetric ratio. It is further shown that increasing the fibre length increases the resistance of the mixture to deviator stress if the fibres are wide enough; and that provided an allowance is made for the effect of fibre tension, the changes in the stress-strain-strength behaviour of the granular matrix resulting from the changes in void ratio associated with the addition of the fibres are consistent with conventional soil mechanics theory across scales.
fobre reinforced ballast, railway track scaling grain
University of Southampton
Ajayi, Olufemi
06d3d3d5-6b58-4209-b291-47ab5ad13e3a
Le Pen, Louis
4a38e256-d113-4bba-b0d4-32d41995928a
Zervos, Antonios
9e60164e-af2c-4776-af7d-dfc9a454c46e
Powrie, William
600c3f02-00f8-4486-ae4b-b4fc8ec77c3c
Ajayi, Olufemi
06d3d3d5-6b58-4209-b291-47ab5ad13e3a
Le Pen, Louis
4a38e256-d113-4bba-b0d4-32d41995928a
Zervos, Antonios
9e60164e-af2c-4776-af7d-dfc9a454c46e
Powrie, William
600c3f02-00f8-4486-ae4b-b4fc8ec77c3c
Ajayi, Olufemi, Le Pen, Louis, Zervos, Antonios and Powrie, William
(2016)
Scaling relationships for strip fibre reinforced aggregates.
University of Southampton
doi:10.5258/SOTON/403908
[Dataset]
Abstract
Dataset supporting:
Ajayi, Olufemi et al (2016) Scaling relationships for strip fibre reinforced aggregates. Canadian Geotechnical Journal
Previous research on random fibre reinforced granular materials has shown that the relative dimensions of the grains and fibres significantly affect the macro-mechanical behaviour of the mixture. However, quantitative data are scarce and most previous work has focused on fine to medium sands, leaving uncertainties regarding the applicability of current knowledge to larger size aggregates such as railway ballast. In this paper, triaxial test data on 1/3 and 1/5 scale railway ballast are used to develop scaling relationships for the size and quantity of fibres needed to achieve the same reinforcing effect in granular materials of differing grain size. It is shown that, to maintain consistency across scales, fibre content should be quantified as a numerical (i.e. number of fibres per grain) rather than a volumetric ratio. It is further shown that increasing the fibre length increases the resistance of the mixture to deviator stress if the fibres are wide enough; and that provided an allowance is made for the effect of fibre tension, the changes in the stress-strain-strength behaviour of the granular matrix resulting from the changes in void ratio associated with the addition of the fibres are consistent with conventional soil mechanics theory across scales.
Spreadsheet
FRSB_dataset.xlsx
- Dataset
More information
Published date: 2016
Keywords:
fobre reinforced ballast, railway track scaling grain
Organisations:
Infrastructure Group, Civil Maritime & Env. Eng & Sci Unit, Faculty Hub, Southampton Marine & Maritime Institute
Projects:
Railway Track for the 21st Century
Funded by: UNSPECIFIED (EP/H044949/1)
1 June 2010 to 31 May 2015
Identifiers
Local EPrints ID: 403908
URI: http://eprints.soton.ac.uk/id/eprint/403908
PURE UUID: 00d9a128-2c50-4866-86d4-bdcedf0b8c28
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Date deposited: 16 Dec 2016 13:09
Last modified: 05 Nov 2023 02:41
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Contributors
Creator:
Olufemi Ajayi
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