Investigation of Red Clay Internal Stress Anisotropy and Influence Factors
Abstract
:1. Introduction
2. Materials and Methods
2.1. Materials
2.2. Simple Preparation
2.3. Experimental Method
- (1)
- Following the standard for geotechnical testing methods, samples are saturated via the vacuum saturation technique, which includes applying a vacuum for one hour and subsequently saturating for 10 h after the saturator is fully immersed in water;
- (2)
- Once the sample’s vacuum saturation is finished, it is taken out of the saturator and placed on the permeameter for permeability testing under various overlying load conditions (i.e., 25 kPa, 50 kPa, 100 kPa, 150 kPa, 200 kPa, 250 kPa, 300 kPa, 350 kPa) using boiled, degassed tap water for the experiment. Four loading levels (50 kPa, 100 kPa, 200 kPa, 300 kPa) are chosen, and under these four load conditions, the permeation pressure is incrementally increased to investigate its impact on the permeability coefficient at different overlying loads. The initial hydraulic gradient (i0) is 1.25;
- (3)
- Correct operation of experimental apparatus, detailed recording of test results, and in-depth analysis of test results.
3. Results and Discussion
3.1. The Influence of Overlying Load on Stress Paths
3.2. The Correlation between Permeability Coefficient and Porosity
3.3. The Influence of Permeation Pressure on Stress Anisotropic
4. Conclusions
- (1)
- The stress within undisturbed red clay exhibits obvious anisotropy, and the clay cannot be considered an isotropic homogeneous body. Under the dual effects of different overburden loads, the vertical permeability coefficient kV is always greater than the horizontal permeability coefficient kH, and the permeability coefficients k in both directions are negatively correlated with lgσ.
- (2)
- With the gradual increase of overburden load, the permeability coefficient ratio kV/kH shows a decreasing trend. When the overburden load does not exceed 150 kPa, the value of kV/kH decreases linearly. However, after the overburden load exceeds 150 kPa, the rate of decrease gradually slows and eventually stabilizes, approximately at 1.77. The porosity ratio e has a linear relationship with lgkV and lgkH, based on which a predictive formula for the anisotropy of permeability coefficients in undisturbed red clay was established.
- (3)
- Permeation pressure can expand the internal stress channels of red clay, increasing its permeability coefficient, and the vertical permeability coefficient is more sensitive to permeation pressure; moreover, permeation pressure can weaken the anisotropy of seepage in red clay to a certain extent.
- (4)
- The anisotropy of stress depends on the anisotropy of pores and their connectivity; the inherent anisotropy of pores in red clay leads to the anisotropy of stress movement. However, based on the structural characteristics of the soil, the permeation characteristics of the soil in different directions are also sensitive to feedback from the external environment (such as permeation pressure) and load.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Natural Moisture Content (%) | Optimum Moisture Content (%) | Maximum Dry Density (g/cm3) | Specific Gravity Gs | Liquid Limit ωL/% | Plastic Limit ωP/% | Plasticity Index IP |
---|---|---|---|---|---|---|
36.7 | 18.6 | 1.89 | 2.65 | 57.8 | 25.9 | 31.9 |
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Chen, D.; Hou, X.; Wu, C. Investigation of Red Clay Internal Stress Anisotropy and Influence Factors. Appl. Sci. 2024, 14, 5592. https://doi.org/10.3390/app14135592
Chen D, Hou X, Wu C. Investigation of Red Clay Internal Stress Anisotropy and Influence Factors. Applied Sciences. 2024; 14(13):5592. https://doi.org/10.3390/app14135592
Chicago/Turabian StyleChen, Dongshan, Xiaoqiang Hou, and Chaoyang Wu. 2024. "Investigation of Red Clay Internal Stress Anisotropy and Influence Factors" Applied Sciences 14, no. 13: 5592. https://doi.org/10.3390/app14135592
APA StyleChen, D., Hou, X., & Wu, C. (2024). Investigation of Red Clay Internal Stress Anisotropy and Influence Factors. Applied Sciences, 14(13), 5592. https://doi.org/10.3390/app14135592