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Research Article

Constitutive Model for Fibre Reinforced Cemented Silty Sand

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Pages 1388-1405 | Received 21 Dec 2020, Accepted 21 May 2021, Published online: 25 Jun 2021
 

ABSTRACT

In this study, a modified version of Severn–Trent constitutive model was used to simulate the mechanical behaviour of composite materials under drained and undrained triaxial compression loading conditions. Two additional parameters obtained from the laboratory tests were added to the standard Severn–Trent model to simulate the stress-strain behaviour of cement and fibre-reinforced Toyoura silty sand. The model parameters were derived based on the experimental results performed, parametric study, trial and error and by comparison with previous research studies. The comparisons covered ranges of material from 0% to 3% fibre, 0% to 3% cement, 20% to 60% relative densities, and silt contents of up to 75%. The experimental results and model simulations were compared in terms of deviatoric stress versus axial strain, volumetric strain versus axial strain, and stress path behaviour. A close agreement of model simulations with the experimental results is observed for many of the tests performed on pure Toyoura sand, cemented, fibre, and fibre-reinforced cemented Toyoura silty sand. The extracted parameters are used to predict the response of those experiments until a reasonable (e.g. ± 5–10% peak strength) comparison is obtained.

Acknowledgments

The research project was financially supported by the Western Graduate Research Scholarship at the Department of Civil and Environmental Engineering, Western University, London, Ontario, Canada. The authors would also like to acknowledge our collaborators, Prof. Dr. Kenichi Sato, Dr. Takuro Fujikawa and their graduate students (Miho Nakamichi, Shintaro Koga and Hiromitsu Shiina) of Fukuoka University, Fukuoka, Japan for providing Toyoura sand and the data for comparison in the current study.

Disclosure of potential conflicts of interest

No potential conflict of interest was reported by the author(s).

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