Print Email Facebook Twitter Prediction of oedometer terminal densities through a memory-enhanced cyclic model for sand Title Prediction of oedometer terminal densities through a memory-enhanced cyclic model for sand Author Liu, H. (TU Delft Geo-engineering) Pisano, F. (TU Delft Geo-engineering) Date 2019 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 - even more so for loading conditions involving numerous loading cycles ('high-cyclic' loading). This paper concerns the recent memory-enhanced bounding surface formulation by Liu et al. as a suitable platform to reproduce the high-cyclic response of sands. New evidence of its suitability is provided based on the recent dataset published by Park and Santamarina, comprising the results of high-cyclic oedometer tests at varying initial/loading conditions. Model simulations show satisfactory agreement with experimental data, and prove the ability of the model to predict 'terminal densities' under confined cyclic compression. Subject Constitutive relationsNumerical modellingPlasticity To reference this document use: http://resolver.tudelft.nl/uuid:866a71a0-ac92-4ea0-bd4b-33e0fe5e9279 DOI https://doi.org/10.1680/jgele.18.00187 Embargo date 2020-03-01 ISSN 2045-2543 Source Geotechnique Letters (Online), 9 (2), 81-88 Part of collection Institutional Repository Document type journal article Rights © 2019 H. Liu, F. Pisano Files PDF Liu_Pisano_2019.pdf 15.96 MB Close viewer /islandora/object/uuid:866a71a0-ac92-4ea0-bd4b-33e0fe5e9279/datastream/OBJ/view