A Non-Linear Suction-Dependent Model for Predicting Unsaturated Shear Strength
Accurate evaluation of unsaturated shear strength remains a significant challenge in geotechnical engineering because of the nonlinear interaction between matric suction and shear strength. Existing models often assume a linear contribution of suction and are generally restricted to low suction ranges, limiting their predictive capability under highly unsaturated conditions. This study investigated the nonlinear response of unsaturated shear strength through single-stage direct shear tests conducted under constant water content. Two soil types: a high-plasticity clay and a low-plasticity silty clay were examined across a wide suction range extending beyond the air-entry value (AEV). The results revealed a nonlinear behavior expressed as a distinct bi-linear trend, with shear strength increasing with suction up to the optimal moisture condition and then exhibiting a clearly altered rate of increase at higher suction levels. To capture this nonlinear behavior of unsaturated shear strength with suction, an exponential shear strength equation was proposed and validated using eight additional published datasets encompassing different soil classifications and suction magnitudes. The proposed formulation demonstrates that accounting for non-linearity is essential for accurately estimating the unsaturated shear strength of the soil. Moreover, the proposed exponential model outperforms both the well-established linear model of Fredlund and the nonlinear power law model of Abramento and Carvalho, thereby providing a unified framework for capturing the nonlinear interaction of matric suction on unsaturated shear strength.
Authors
- Kalani Rajamanthri (ORCID: https://orcid.org/0000-0001-7304-1979)
- Claudia E. Zapata
Institutions
- Arizona State University (US)
Publication Details
- Journal
- Geosciences
- Published
- 2025-12-23
- DOI
- https://doi.org/10.3390/geosciences16010012
- Primary Topic
- Soil and Unsaturated Flow
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Transportation