Numerical modelling of geosynthetic reinforcements – simple constitutive models allowing for durability

Numerical models, particularly using the finite element method, are becoming increasingly popular, for example to assist the design of geosynthetic reinforced soil structures and/or analyse their performance. Geosynthetics are often represented by a stiffness (and sometimes a tensile strength). As durability is key for the design and performance of geosynthetics, representing their response using non-linear constitutive models allowing for durability is essential. Thus, it is important to understand how damage may influence the load-strain response and how such changes can influence design tensile properties. Recent research work on this topic is summarised, highlighting how simple hyperbolic-based constitutive models can be used to represent the tensile response of geosynthetics, for both their as-received and damaged conditions. The model parameters have physical meaning and can be linked to the material tensile properties. The approach adopted allows estimating the model parameters after damage from model parameters of undamaged samples and reduction factors for the damage agent or mechanism considered. This approach has large potential for application in geotechnical design, as estimated constitutive models allowing for durability may be implemented in software, e.g., using finite element method, and lead to more realistic designs.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-14
DOI
https://doi.org/10.1051/e3sconf/202566202001/pdf
Primary Topic
Geotechnical Engineering and Soil Stabilization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical modelling of geosynthetic reinforcements – simple constitutive models allowing for durability

Springer Link (Chiba Institute of Technology)
Geotechnical Engineering and Soil Stabilization
article

Numerical modelling of geosynthetic reinforcements – simple constitutive models allowing for durability

article en

Abstract

Numerical models, particularly using the finite element method, are becoming increasingly popular, for example to assist the design of geosynthetic reinforced soil structures and/or analyse their performance. Geosynthetics are often represented by a stiffness (and sometimes a tensile strength). As durability is key for the design and performance of geosynthetics, representing their response using non-linear constitutive models allowing for durability is essential. Thus, it is important to understand how damage may influence the load-strain response and how such changes can influence design tensile properties. Recent research work on this topic is summarised, highlighting how simple hyperbolic-based constitutive models can be used to represent the tensile response of geosynthetics, for both their as-received and damaged conditions. The model parameters have physical meaning and can be linked to the material tensile properties. The approach adopted allows estimating the model parameters after damage from model parameters of undamaged samples and reduction factors for the damage agent or mechanism considered. This approach has large potential for application in geotechnical design, as estimated constitutive models allowing for durability may be implemented in software, e.g., using finite element method, and lead to more realistic designs.

Springer Link (Chiba Institute of Technology)
Life in Land
Openalex Percentile: Top 46%
Geotechnical Engineering and Soil Stabilization
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.