Memory-Enhanced Plasticity Modeling of Sand Behavior under Undrained Cyclic Loading

H. Liu, Andrea Diambra, José Antonio Abell, F. Pisano

Research output: Contribution to journalArticleScientificpeer-review

34 Citations (Scopus)
32 Downloads (Pure)


This work presents a critical state plasticity model for predicting the response of sands to cyclic loading. The well-known bounding surface SANISAND framework by Dafalias and Manzari is enhanced with a memory surface to capture micromechanical, fabric-related processes directly affecting cyclic sand behavior. The resulting model, SANISAND-MS, was recently proposed by Liu et al. and successfully applied to the simulation of drained sand ratcheting under thousands of loading cycles. Herein, novel ingredients are embedded into Liu et al.’s formulation to better capture the effects of fabric evolution history on sand stiffness and dilatancy. The new features enable remarkable accuracy in simulating undrained pore pressure buildup and cyclic mobility behavior in medium-dense to dense sand. The performance of the upgraded SANISAND-MS is validated against experimental test results from the literature—including undrained cyclic triaxial tests at varying cyclic loading conditions and precyclic consolidation histories. The proposed modeling platform will positively impact the study of relevant cyclic and dynamic problems, for instance, in the fields of earthquake and offshore geotechnics.
Original languageEnglish
Article number04020122
Pages (from-to)1-14
Number of pages14
JournalJournal of Geotechnical and Geoenvironmental Engineering
Issue number11
Publication statusPublished - 2020


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