Evaluation the shear modulus of unsaturated soils estimated from different indirect methods

It is important for engineers to understand the behaviour of the shear modulus of unsaturated soils (Gunsat) for the geotechnical analyses. Various models have been proposed for the estimation of Gunsat, but the accuracy of the estimated results from the different models needs to be evaluated for the different types of soils. In this paper, five mathematical models were selected to estimate Gunsat, and the results from those models were compared with 41 sets of experimental data from the published literature. Those sets of experimental data were divided into two groups, such as cohesive soils and cohesionless soils. Four statistical tools, such as the scatter plot, Taylor diagram, box plot, and the values of Root Mean Square Error and Corrected Akaike Information Criterion, were adopted for the evaluation of the performances of those models. Based on the results from the statistical analyses, it was observed that all five models could perform well for cohesive soils, but they had different performances for cohesionless soils. Consequently, two models were recommended for the cohesive soils, whereas three models were recommended for the cohesionless soils to represent the shear modulus function of unsaturated soils.

Authors

Institutions

Publication Details

Journal
Environmental Geotechnics
Published
2026-03-12
DOI
https://doi.org/10.1680/jenge.25.00070
Citations
1
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
19.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation the shear modulus of unsaturated soils estimated from different indirect methods

Alfrendo Satyanaga, W. Gong, Ruize Zhang, Qian Zhai et al.
1 citations
Environmental Geotechnics
Soil and Unsaturated Flow
19.37
article

Evaluation the shear modulus of unsaturated soils estimated from different indirect methods

Alfrendo Satyanaga, W. Gong, Ruize Zhang, Qian Zhai, Harianto Budi Rahardjo, YuanShen Chua, Xianyue Chen, Liangzhong Qian, Guoliang Dai
article en
1 citations

Abstract

It is important for engineers to understand the behaviour of the shear modulus of unsaturated soils (Gunsat) for the geotechnical analyses. Various models have been proposed for the estimation of Gunsat, but the accuracy of the estimated results from the different models needs to be evaluated for the different types of soils. In this paper, five mathematical models were selected to estimate Gunsat, and the results from those models were compared with 41 sets of experimental data from the published literature. Those sets of experimental data were divided into two groups, such as cohesive soils and cohesionless soils. Four statistical tools, such as the scatter plot, Taylor diagram, box plot, and the values of Root Mean Square Error and Corrected Akaike Information Criterion, were adopted for the evaluation of the performances of those models. Based on the results from the statistical analyses, it was observed that all five models could perform well for cohesive soils, but they had different performances for cohesionless soils. Consequently, two models were recommended for the cohesive soils, whereas three models were recommended for the cohesionless soils to represent the shear modulus function of unsaturated soils.

Environmental Geotechnics
Nanyang Technological University (SG), Construction Development (Qatar) (QA), Southeast University (BD), Ducks Unlimited (US), Shandong Transportation Research Institute (CN), Pacific Medical (China) (CN), China State Construction Engineering (China) (CN), Nazarbayev University (KZ), Southeast University (CN)
Life in Land
Openalex Percentile: Top 1%
Soil and Unsaturated Flow
19.37
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.