Comparison of new memory surface hardening models for prediction of high cyclic loading

Andrea Diambra; H. Y. Liu; F Pisano; J. A.  Abell

Comparison of new memory surface hardening models for prediction of high cyclic loading

Andrea Diambra, H. Y. Liu, F Pisano, J. A. Abell

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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.

Original language	English
Title of host publication	Proceedings of the XVII ECSMGE-2019
Editors	Haraldur Sigursteinsson, Sigurður Erlingsson, Bjarni Bessason
Publisher	The Icelandic Geotechnical Society
ISBN (Print)	978-0-7277-6067-8
Publication status	Published - 6 Sept 2019
Event	European Conference on Soil Mechanics and Geotechnical Engineering - Reykjavik, Iceland Duration: 1 Sept 2019 → 6 Sept 2019 Conference number: 27 https://www.ecsmge-2019.com/

Conference

Conference	European Conference on Soil Mechanics and Geotechnical Engineering
Abbreviated title	ECSMGE-2019
Country/Territory	Iceland
City	Reykjavik
Period	1/09/19 → 6/09/19
Internet address	https://www.ecsmge-2019.com/

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@inproceedings{141ff6fa792f42c5bf742dd0e3f2d622,

title = "Comparison of new memory surface hardening models for prediction of high cyclic loading",

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.",

author = "Andrea Diambra and Liu, {H. Y.} and F Pisano and Abell, {J. A.}",

year = "2019",

month = sep,

day = "6",

language = "English",

isbn = "978-0-7277-6067-8",

editor = "{ Sigursteinsson}, Haraldur and { Erlingsson}, Sigur{\dh}ur and { Bessason}, Bjarni",

booktitle = "Proceedings of the XVII ECSMGE-2019",

publisher = "The Icelandic Geotechnical Society",

note = "European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE-2019 ; Conference date: 01-09-2019 Through 06-09-2019",

url = "https://www.ecsmge-2019.com/",

}

Diambra, A, Liu, HY, Pisano, F & Abell, JA 2019, Comparison of new memory surface hardening models for prediction of high cyclic loading. in H Sigursteinsson, S Erlingsson & B Bessason (eds), Proceedings of the XVII ECSMGE-2019. The Icelandic Geotechnical Society, European Conference on Soil Mechanics and Geotechnical Engineering, Reykjavik, Iceland, 1/09/19. <https://www.ecsmge-2019.com/uploads/2/1/7/9/21790806/proceedings-v1a.pdf>

Comparison of new memory surface hardening models for prediction of high cyclic loading. / Diambra, Andrea; Liu, H. Y.; Pisano, F et al.
Proceedings of the XVII ECSMGE-2019. ed. / Haraldur Sigursteinsson; Sigurður Erlingsson; Bjarni Bessason. The Icelandic Geotechnical Society, 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Comparison of new memory surface hardening models for prediction of high cyclic loading

AU - Diambra, Andrea

AU - Liu, H. Y.

AU - Pisano, F

AU - Abell, J. A.

N1 - Conference code: 27

PY - 2019/9/6

Y1 - 2019/9/6

N2 - 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.

AB - 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.

M3 - Conference Contribution (Conference Proceeding)

SN - 978-0-7277-6067-8

BT - Proceedings of the XVII ECSMGE-2019

A2 - Sigursteinsson, Haraldur

A2 - Erlingsson, Sigurður

A2 - Bessason, Bjarni

PB - The Icelandic Geotechnical Society

T2 - European Conference on Soil Mechanics and Geotechnical Engineering

Y2 - 1 September 2019 through 6 September 2019

ER -

Comparison of new memory surface hardening models for prediction of high cyclic loading

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