A Non-Linear Suction-Dependent Model for Predicting Unsaturated Shear Strength
Abstract
1. Introduction
2. Materials and Methods
2.1. Materials
2.2. Testing Methods
2.2.1. Conventional Direct Shear Test
2.2.2. Characterization of Unsaturated Hydraulic Behavior
3. Results
3.1. Saturated Shear Strength Response
3.1.1. CL-ML Soil


3.1.2. CH Soil
3.2. Unsaturated Shear Strength Response
3.2.1. CL-ML Soil





3.2.2. CH Clay




3.3. Soil–Water Characteristic Curve
3.4. Influence of Soil Suction on Mohr-Coulomb Shear Strength Response
3.4.1. CL-ML Soil

3.4.2. CH Soil

3.5. Evaluation of Unsaturated Shear Strength with Suction
3.5.1. CL-ML Soil

3.5.2. CH Soil

4. Discussion
4.1. Effect of Net Normal Stress Variation on the Shear Strength of Unsaturated Soils
4.2. Influence of Soil Suction Variation on Unsaturated Shear Strength Behavior over a Broad Suction Range
4.3. Development and Calibraton of a Nonlinear Equation for Predicting Unsaturated Shear Strength over Extended Suction Range
4.4. Validation of Proposed Nonlinear Shear Strength Model with Independet Data from the Literature
5. Conclusions
- 1.
- Nonlinearity of Unsaturated Shear Strength: The experimental results confirm that the shear strength of unsaturated soils varies nonlinearly with matric suction. Under high-suction conditions, the CL-ML soil exhibited an increasing rate of shear strength gain, whereas the CH soil showed a decreasing rate of strength enhancement. This contrasting response highlights the governing influence of soil plasticity and microstructural fabric on suction-dependent shear strength behavior. These findings reinforce the importance of incorporating suction-driven nonlinearity when evaluating the shear strength of unsaturated soils across a broad range of suction conditions.
- 2.
- Influence of Net Normal Stress on Unsaturated Shear Strength: Increasing net normal stress enhances shear resistance and stiffness while progressively suppressing dilation. However, at high suction levels and elevated confining pressures, the influence of net normal stress on shear strength becomes negligible. This reduction is likely associated with particle crushing and reorientation of soil fabric, leading to a decrease in the effective friction angle (ϕ), as reported by Mitchell and Soga [43]. Further, under higher net normal stress, the predicted shear strength was found to be underestimated relative to the lower net normal stress, consistent with the findings of Vanapalli et al. [15].
- 3.
- Influence of Matric Suction on Unsaturated Shear Strength: In the low-suction range where the soil remains nearly saturated, the suction strength parameter (ϕᵇ) approximates the effective friction angle (ϕ′), indicating a strong coupling between suction and effective stress. This behavior has been widely reported in the literature [2,3,14,25]. As matric suction exceeds the OMC, the contribution of suction to shear strength increases. For the low-plastic clay, the contribution increases, but for the plastic soil, the contribution reduces at high suction values. This variability reflects the complex interplay between soil plasticity, fine content, and microstructural rearrangement under changing suction conditions.
- 4.
- Validation of the Proposed Nonlinear Equation:The developed exponential model successfully integrates stress and suction-dependent mechanisms within a continuous, physically consistent framework. Regression-derived parameters, with an independent database collected from literature review, yielded an excellent fit (R2 = 0.93), demonstrating enhanced predictive capability across diverse soil types. The model accurately reproduces the nonlinear strength evolution and outperforms existing linear and power-law formulations.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| MnDOT | Minnesota Department of Transportation |
| TxDOT | Texas Department of Transportation |
| USCS | Unified Soil Classification System |
| AEV | Air Entry Value |
| OMC | Optimum Moisture Content |
| SWCC | Soil–Water Characteristic Curve |
| KR | Kalani Rajamanthri |
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| Author | Proposed Equation | Equation No. |
|---|---|---|
| Fredlund et al. [7] | (1) | |
| Bishop [8] | variable which is related to the degree of saturation | (2) |
| Sridharan [9] | net repulsive pressure net attractive pressure | (3) |
| Lamborn [10] | variable which is related to the degree of saturation volumetric water content | (4) |
| Peterson [11] | Apparent cohesion due to suction | (5) |
| Abramento and Carvalho [12] | curve fitting parameters | (6) |
| Escario and Juca [13] | shear strength when suction = 0 kPa maximum value : maximum shear strength the difference between the maximum shear, and the total height of the ellipse, b, that has been fit to experimental points | (7) |
| Vanapalli et al. [14] | volumetric water content : volumetric water content at residual suction : volumetric water content at saturation | (8) |
| Vanapalli et al. [15] | : normalized volumetric water content defined by the ratio between volumetric water content and saturated volumetric water content () | (9) |
| Miao et al. [16] | : atmospheric pressure (101.3 kPa) fitting parameter | (10) |
| Matsushi and Matsukara [17] | void ratio hypothetical maximum value of cohesion at θ = 0, and coefficient related to susceptibility of strength reduction | (11) |
| Kayadelen et al. [18] | angle of shear strength at peak state atmospheric pressure | (12) |
| Guan et al. [19] | constant controlling parameters | (13) |
| Satyanaga and Rahardjo [20] | : first air entry value : second air entry value in the macro transition in the micro transition | (14) |
| Gao et al. [21] | : shear stress corresponding to maximum average skeleton stress : suction corresponding to maximum average skeleton stress : suction | (15) |
| Ahmadi Naghadeh and Toker [22] | matric suction transition suction | (16) |
| Soil Type | Grain Size Distribution (%) [30] | Atterberg Limits (%) [31] | ||||
|---|---|---|---|---|---|---|
| Gravel | Sand | Silt | Clay | Liquid Limit (LL) | Plasticity Index (PI) | |
| CL-ML soil | 2 | 43 | 39 | 16 | 25 | 6 |
| CH soil | - | 4 | 27 | 69 | 59 | 32 |
| Soil Type | Dry Density (kN/m3) | Specific Gravity | PI | c′ (kPa) | ϕ′ (Degrees) | Reference |
|---|---|---|---|---|---|---|
| Sandy soils | ||||||
| Madrid clayey sand | 18.7 | 2.65 | 15 | 0 | 39.5 | [13] |
| El Paso sand | 13.6 | 2.65 | NP | 8.2 | 33.7 | [32] |
| Silty soils | ||||||
| Indian head till | 17.7 | 2.73 | 19 | 10 | 23 | [15] |
| Price club silt | 13.0 | 2.73 | 4 | 9.2 | 30.8 | [32] |
| Clayey soils | ||||||
| Madrid Grey clay | 13.0 | 2.77 | 35 | 23.7 | 22.5 | [13] |
| Guadalix Red clay | 17.7 | 2.66 | 14 | 15 | 32.5 | [13] |
| Fountain Hills clay | 11.2 | 2.77 | 41 | 22.1 | 23.8 | [32] |
| Decomposed tuff | 12.8 | 2.70 | - | 60 | 14 | [33] |
| CL-ML Soil | |||||||||||
| Gravimetric water content (%) | 6 | 8 | 12 | 14.4 (OMC) | 16 | 20 | |||||
| Degree of saturation (%) | 28 | 39 | 57 | 69 | 78 | 94 | |||||
| Soil suction (kPa) | 6966 | 1537 | 190 | 23 | 3 | 0.01 | |||||
| CH soil | |||||||||||
| Gravimetric water content (%) | 5 | 10 | 18.5 (OMC) | 20 | 25 | ||||||
| Degree of saturation (%) | 12 | 23 | 40 | 74 | 98 | ||||||
| Soil suction (kPa) | 77,560 | 13,213 | 1151 | 743 | 7 | ||||||
| Soil Type | a | n | m | (kPa) |
|---|---|---|---|---|
| CL-ML soil | 4.15 | 0.341 | 0.721 | 349.95 |
| CH soil | 89.9 | 0.316 | 0.777 | 429.45 |
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Rajamanthri, K.; Zapata, C.E. A Non-Linear Suction-Dependent Model for Predicting Unsaturated Shear Strength. Geosciences 2026, 16, 12. https://doi.org/10.3390/geosciences16010012
Rajamanthri K, Zapata CE. A Non-Linear Suction-Dependent Model for Predicting Unsaturated Shear Strength. Geosciences. 2026; 16(1):12. https://doi.org/10.3390/geosciences16010012
Chicago/Turabian StyleRajamanthri, Kalani, and Claudia E. Zapata. 2026. "A Non-Linear Suction-Dependent Model for Predicting Unsaturated Shear Strength" Geosciences 16, no. 1: 12. https://doi.org/10.3390/geosciences16010012
APA StyleRajamanthri, K., & Zapata, C. E. (2026). A Non-Linear Suction-Dependent Model for Predicting Unsaturated Shear Strength. Geosciences, 16(1), 12. https://doi.org/10.3390/geosciences16010012

