Predictive potential of Perzyna viscoplastic modelling for granular geomaterials

Journal Article (2018)
Author(s)

Maria Lazari (Università degli Studi di Padova)

Lorenzo Sanavia (Università degli Studi di Padova)

Claudio Giulio Di Prisco (Politecnico di Milano)

F Pisanò (TU Delft - Geo-engineering)

Geo-engineering
Copyright
© 2018 Maria Lazari, Lorenzo Sanavia, Claudio di Prisco, F. Pisano
DOI related publication
https://doi.org/10.1002/nag.2876
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Maria Lazari, Lorenzo Sanavia, Claudio di Prisco, F. Pisano
Geo-engineering
Issue number
2
Volume number
43 (2019)
Pages (from-to)
544-567
Reuse Rights

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Abstract

This paper reappraises Perzyna-type viscoplasticity for the constitutive modelling of granular geomaterials, with emphasis on the simulation of rate/time effects of different magnitude. An existing elasto-plastic model for sands is first recast into a Perzyna viscoplastic formulation and then calibrated/validated against laboratory test results on Hostun sand from the literature. Notable model features include (1) enhanced definition of the viscous nucleus function and (2) void ratio dependence of stiffness and viscous parameters, to model the pycnotropic behaviour of granular materials with a single set of parameters, uniquely identified against standard creep and triaxial test results. The comparison between experimental data and numerical simulations points out the predicative capability of the developed model and the complexity of defining a unique viscous nucleus function to capture sand behaviour under different loading/initial/boundary and drainage conditions. It is concluded that the unified viscoplastic simulation of both drained and undrained response is particularly challenging within Perzyna's framework and opens to future research in the area. The discussion presented is relevant, for instance, to the simulation of multiphase strain localisation phenomena, such as those associated to slope stability problems in variably saturated soils.

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