Comparison of new memory surface hardening models for prediction of high cyclic loading (Comparaison de nouveaux modèles de surface de mémoire à durcissement pour la prévision de fortes charges cycliques)

Conference Paper (2019)
Author(s)

A. Diambra (University of Bristol)

R. Corti (University of Bristol)

Haoyuan Liu (TU Delft - Geo-engineering)

F Pisanò (TU Delft - Geo-engineering)

J. A. Abell (Universidad de los Andes)

Geo-engineering
Copyright
© 2019 A. Diambra, R. Corti, H. Liu, F. Pisano, J. A. Abell
DOI related publication
https://doi.org/10.32075/17ECSMGE-2019-0840
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 A. Diambra, R. Corti, H. Liu, F. Pisano, J. A. Abell
Geo-engineering
Pages (from-to)
1-8
ISBN (print)
978-9935-9436-1-3
ISBN (electronic)
9789935943613
Reuse Rights

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Abstract

This paper presents an objective comparison between two recent constitutive models employing the concept of the hardening memory surface to predict the high cyclic loading behaviour of granular soils. The hardening memory surface is applied to the well-known Severn-Trent sand and the SANINSAND04 constitutive models. While the addition of the new model surface (the memory surface) leads to enhanced model capabilities, slight differences in the implementation can lead to different model performances and simulations. This paper describes the differences between the two implementations and highlights the most relevant modelling ingredi-ents to predict particular features of the cyclic soil behaviour. This paper will help the reader in selecting the most suitable model and related ingredients for a particular geotechnical application.

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