Selection of Geosynthetic Reinforcement Stiffness for 3D Numerical Modeling of GRS Abutments under Service Load Conditions

Conventional numerical modeling of geosynthetic-reinforced soil (GRS) abutments assumes that reinforcement has constant stiffness derived from constant-rate-of-strain (CRS) tensile tests, neglecting the creep behavior exhibited by materials such as high-density polyethylene (HDPE) geogrids under field conditions. To evaluate the impact of creep behavior of HDPE geogrids on the static response of GRS abutments, a three-dimensional (3D) numerical model was developed, incorporating three modeling approaches for geosynthetic reinforcement stiffness: (1) constant stiffness neglecting creep (i.e., CRS stiffness), (2) constant secant creep stiffness, and (3) nonlinear creep stiffness using a hyperbolic formulation. The results indicate that neglecting creep behavior leads to an overestimation of geosynthetic reinforcement stiffness, resulting in underestimation of deformations and reinforcement strains while overestimating reinforcement tensile forces and required tensile strength. Notably, the GRS abutment with nonlinear reinforcement creep stiffness yields results comparable to those obtained with constant stiffness derived from constant-load creep tests, with the latter offering slightly more conservative predictions. These findings provide practical guidance for selecting appropriate reinforcement stiffness models to improve the accuracy of GRS abutment performance predictions under service loading.

Authors

Institutions

Publication Details

Journal
International Journal of Geomechanics
Published
2026-06-25
DOI
https://doi.org/10.1061/ijgnai.gmeng-13033
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

Selection of Geosynthetic Reinforcement Stiffness for 3D Numerical Modeling of GRS Abutments under Service Load Conditions

Jialong Deng, Yewei Zheng, Jun Zhang, Wenhao Guo et al.
International Journal of Geomechanics
Geotechnical Engineering and Soil Stabilization
article

Selection of Geosynthetic Reinforcement Stiffness for 3D Numerical Modeling of GRS Abutments under Service Load Conditions

Jialong Deng, Yewei Zheng, Jun Zhang, Wenhao Guo, Jun-Jie Zheng
article en

Abstract

Conventional numerical modeling of geosynthetic-reinforced soil (GRS) abutments assumes that reinforcement has constant stiffness derived from constant-rate-of-strain (CRS) tensile tests, neglecting the creep behavior exhibited by materials such as high-density polyethylene (HDPE) geogrids under field conditions. To evaluate the impact of creep behavior of HDPE geogrids on the static response of GRS abutments, a three-dimensional (3D) numerical model was developed, incorporating three modeling approaches for geosynthetic reinforcement stiffness: (1) constant stiffness neglecting creep (i.e., CRS stiffness), (2) constant secant creep stiffness, and (3) nonlinear creep stiffness using a hyperbolic formulation. The results indicate that neglecting creep behavior leads to an overestimation of geosynthetic reinforcement stiffness, resulting in underestimation of deformations and reinforcement strains while overestimating reinforcement tensile forces and required tensile strength. Notably, the GRS abutment with nonlinear reinforcement creep stiffness yields results comparable to those obtained with constant stiffness derived from constant-load creep tests, with the latter offering slightly more conservative predictions. These findings provide practical guidance for selecting appropriate reinforcement stiffness models to improve the accuracy of GRS abutment performance predictions under service loading.

International Journal of GeomechanicsVol. 26(9)
Zhongnan University of Economics and Law (CN), Wuhan University (CN), South China Municipal Engineering Design and Research Institute (China) (CN), Shanxi Transportation Research Institute (CN)
Life in Land
Openalex Percentile: Top 11%
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.