Abstract
Granular soils, e.g., sand, ballast and rockfill, usually experience dynamic loads in the field. Traditional constitutive models for monotonic loading conditions cannot be used for advanced characterisation of the complex loading behaviour of granular soils. In this study, a simple fractional plastic model is developed, based on the generalized fractional plastic flow rule which considers the loading and unloading differences under triaxial compression and extension conditions. The model is further validated against a series of cyclic loading behaviour of different granular soils, where a good predicting performance is observed.
Highlights
According to many experimental (Aursudkij et al, 2009; Nimbalkar et al, 2012; Nimbalkar and Indraratna, 2016; Sun et al, 2017a, 2018e) and numerical studies, it is widely recognized that granular soils, including sand, ballast and rockfill, usually exhibit complex strength and deformation behavior, such as contraction accompanied by strain hardening and dilation accompanied by strain softening, when subjected to static and dynamic loads
In contrast to previous works (Sun et al, 2018d, 2019c), this paper presents a simplified fractional-order elastoplastic model for granular soils subjected to cyclic loads, based on a general fractional plastic flow rule suitable for both monotonic and cyclic loads, which is the main innovation of this study
A new cyclic fractional plasticity model was developed in this study
Summary
E.g., sand, ballast, and rockfill, usually experience dynamic loads in the field. Traditional constitutive models for monotonic loading conditions cannot be used for advanced characterization of the complex loading behavior of granular soils. A simple fractional plastic model is developed, based on the generalized fractional plastic flow rule which considers the loading and unloading differences under triaxial compression and extension conditions. The model is further validated against a series of cyclic loading behavior of different granular soils, where a good predicting performance is observed. Specialty section: This article was submitted to Transportation and Transit Systems, a section of the journal Frontiers in Built Environment
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