Integration of hyperplastic models in strain space

This paper presents a simple and flexible integration scheme designed to capture the elastic–plastic behaviour of materials directly from a free energy function, a dissipation function and kinematic constraints, typically formulated in strain space. As such, it eliminates the need to establish expressions for yield functions and/or plastic flow potentials. This is beneficial as analytical transformation of complex dissipation functions, particularly when combined with realistic kinematic constraints, often involves mathematical complexities. However, such a transformation is unnecessary as all essential information is already embedded within the various elements of the framework, that is the free energy potential, dissipation function and kinematic constraint expressions. Moreover, the scheme can be utilised to numerically visualise yield surfaces. The method is successfully applied to a family of sand and clay models featuring different dissipation functions, kinematic constraints (dilatancy rules) and friction mobilisation. These applications include showcasing models that lack analytical transformation, as well as models where analytical transformation to the yield and potential surfaces is possible, allowing for comparison. Through numerical simulation of several drained and undrained element tests, and the generation of yield surfaces, the efficacy of the proposed integration scheme is demonstrated. Furthermore, the proposed scheme is used to implement the Matsuoka–Nakai model in a finite-element programme to demonstrate its applicability to boundary value problems.

Authors

Institutions

Publication Details

Journal
Géotechnique
Published
2025-01-27
DOI
https://doi.org/10.1680/jgeot.24.01225
Primary Topic
Geotechnical and Geomechanical Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of hyperplastic models in strain space

Gustav Grimstad, Seyed Ali Ghoreishian Amiri, Davood Dadras-Ajirlou
Géotechnique
Geotechnical and Geomechanical Engineering
article

Integration of hyperplastic models in strain space

Gustav Grimstad, Seyed Ali Ghoreishian Amiri, Davood Dadras-Ajirlou
article en

Abstract

This paper presents a simple and flexible integration scheme designed to capture the elastic–plastic behaviour of materials directly from a free energy function, a dissipation function and kinematic constraints, typically formulated in strain space. As such, it eliminates the need to establish expressions for yield functions and/or plastic flow potentials. This is beneficial as analytical transformation of complex dissipation functions, particularly when combined with realistic kinematic constraints, often involves mathematical complexities. However, such a transformation is unnecessary as all essential information is already embedded within the various elements of the framework, that is the free energy potential, dissipation function and kinematic constraint expressions. Moreover, the scheme can be utilised to numerically visualise yield surfaces. The method is successfully applied to a family of sand and clay models featuring different dissipation functions, kinematic constraints (dilatancy rules) and friction mobilisation. These applications include showcasing models that lack analytical transformation, as well as models where analytical transformation to the yield and potential surfaces is possible, allowing for comparison. Through numerical simulation of several drained and undrained element tests, and the generation of yield surfaces, the efficacy of the proposed integration scheme is demonstrated. Furthermore, the proposed scheme is used to implement the Matsuoka–Nakai model in a finite-element programme to demonstrate its applicability to boundary value problems.

GéotechniqueVol. 75(13)
Norwegian University of Science and Technology (NO)
Openalex Percentile: Top 98%
Geotechnical and Geomechanical Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.