Calibration of a generalized plasticity model for compacted silty sand under constant-suction shearing tests

¹ Department of Continuum Mechanics and Theory of Structures. ETSICCyP, Universidad Politécnica de Madrid, Spain
² School of Engineering, University of Guam, UOG Station, Mangilao, GU 96923, USA
³ Department of Civil and Environmental Engineering University of Texas at Arlington, Texas 76019, USA
⁴ Department of Civil and Environmental Engineering, Texas A & M University, College Station, Texas, 77843, USA
⁵ Department of Applied Mathematics in Engineering, ETSICCyP, Universidad Politécnica de Madrid, Spain

^* Corresponding author: d.manzanal@upm.es

Abstract

The stress-strain response of compacted silty sand with over-consolidated stress history often exhibit distinct peak stress before reaching the critical stress type of response when subjected to suction-controlled triaxial shearing. Such heavily consolidated soil also tends to simultaneously manifest initial compression which transitions into dilational type volumetric response. Modelling such strain-softening type response, especially emulating the smooth transition from peak to critical state is a challenge. In this paper a previously developed generalized plasticity constitutive model, called MPZ (Modified Pastor-Zienkiewicz) is fine-tuned and calibrated using a set of suction-controlled consolidated drained triaxial tests conducted on compacted silty sand specimens. Firstly, the saturated and unsaturated silty sand characteristics and the experimental test program are briefly introduced. Secondly, the calibration of each component of the constitutive model, namely critical state, dilatancy, peak state, loading direction, water retention curve and bounding function are briefly explained. Furthermore, the material parameters are estimated, model performance is displayed, and finally discussed. Preliminary simulations show that the MPZ model is able to mimic overall suction controlled triaxial test response of compacted silty sand decently well by taking into account the changes in density, pressure and suction. However, the peak states are not accurately modelled for low-high suction levels which needs further modifications in proposed model.