Prediction of oedometer terminal densities through a memory-enhanced cyclic model for sand. Issue 1 (20th February 2019)

• Record Type: Journal Article
• Authors: Liu, H. Y.; Pisanò, F.
• Is Part Of: Géotechnique letters. Volume 9:Issue 1(2019)
• Page Start: 1
• Page End: 24
• Publication Date: 2019-02-20
• Subjects: sands -- stiffness -- settlement -- constitutive relations -- plasticity -- numerical modelling; Geotechnical engineering -- Periodicals; Engineering geology -- Periodicals; 624.151
• DOI: 10.1680/jgele.18.00187
• Languages: English
• ISSNs: 2045-2543

Abstract

Abstract : Predicting the cyclic response of soils is still challenging in many geotechnical applications. In this area, the continual efforts on the constitutive modelling of cyclic sand behaviour demand new and reliable dataset for model validation – evenmore so for loading conditions involving numerous loading cycles ('high-cyclic' loading). This letter concerns the recent memory-enhanced bounding surface formulation by Liu et al. (2018a) as a suitable platform to reproduce the high-cyclic response of sands. New evidence of its suitability is brought based on the recented dataset published by Park & Santamarina (2018), comprising the results of high-cyclic oedometer tests at varying initial/loading conditions. Model simulations prove in satisfactory agreement with experimental findings, and prove the ability of the model to predict 'terminal densities' under confined cyclic compression.