Predicting bimodal soil–water characteristic curves and permeability functions using physically based parameters

Li, Xianmin; Li, Jin Hui; Zhang, Li Min

doi:10.1016/j.compgeo.2014.01.004

Cited by 96 publications

(61 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is well known that the shape of SWCC is strongly related to the pore size distribution of the soils [25,23]. The bimodal nature of SWCC is possible for soils with a dual porosity structure such as the compacted coarse colluvial soils and the gap-graded soils [34,37,36,41,51]. The presence of cracks in expansive soils can lead to a dual porosity structure, including the macro-pores (i.e.…”

Section: Soil Propertiesmentioning

confidence: 99%

“…5 and 6). Since the bimodal SWCC can be regarded as a superposition of a unimodal SWCC for cracked (macropores) potion and that for intact (micro-pores) series [36]; the characteristic parameters of bimodal SWCC can be determined for two unimodal SWCCs using the construction procedure, separately. The associated characteristic parameters of bimodal SWCC of Regina clay are summarized in Table 1.…”

Section: Soil Propertiesmentioning

confidence: 99%

See 1 more Smart Citation

Hydro-mechanical coupling effect on surficial layer stability of unsaturated expansive soil slopes

Vanapalli

2015

Computers and Geotechnics

113

View full text Add to dashboard Cite

Section: Soil Propertiesmentioning

confidence: 99%

Section: Soil Propertiesmentioning

confidence: 99%

Hydro-mechanical coupling effect on surficial layer stability of unsaturated expansive soil slopes

Vanapalli

2015

Computers and Geotechnics

113

View full text Add to dashboard Cite

“…SWCC is a fundamental element for characterizing the essential aspects of unsaturated soil behavior and it plays an important role in unsaturated soil mechanics. Based on the fundamental theories of unsaturated soil mechanics, the matrix suction has great influence on the engineering characteristics of unsaturated soil, including water-holding capacity, strength, permeability, and volumetric change of soil [2][3][4]. The SWCCs can also be used to reflect the ability of water retention, strength, and permeability [5].…”

Section: Introductionmentioning

confidence: 99%

Experiment and Modeling of Soil-Water Characteristic Curve of Unsaturated Soil in Collapsing Erosion Area

Liu

Luo

Ming-fu

et al. 2016

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Soil erosion tends to occur with rainfall runoff, thus leading to grave soil and water loss. An increase of water content in soil caused by rain makes the loss of matrix suction and the decrease of shear strength obvious, and will promote soil erosion. The soil-water characteristic curve (SWCC) can be used to describe the relationship between the water content and the matrix suction in unsaturated soil. For this paper we studied the SWCCs of the granite residual soils in a collapsing erosion area in Jiangxi Province, China. A GEO-Experts pressure plate extractor was used to measure SWCCs for soils with different dry density, grain size, drying and wetting cycles, and lime content. The initial dry density has a significant impact on SWCC. With increasing dry density, the suction was decreased for the same water content. The larger the grain size, the greater the suction value for the same volumetric water content. Under the same suction, the volumetric water content decreases as the lime percentage increases and water stability improves. SWCCs of the drying and wetting cycle demonstrate the hysteresis phenomenon. The area of the hysteresis loop decreased with the increase of the dry density and drying and wetting cycle number. It also became small when the soils were mixed with lime. In this paper, the Van Genuchten model, the Fredlund and Xing model, and the Gardner model were used to fit the experimental data of SWCCs. The presented fitting parameters show that the residual sum of squares is less than 0.002. All the experimental data fit well to three models for SWCC. The results indicated that the simulated value of the Gardner model does provide best agreement with the measured value. These results will provide an important basis for the further study of the soil collapsing erosion process and soil cover design.

show abstract

“…The net vertical stress and temperature will influence the air-entry value of the SWCC. The SWCC is also affected by the number of samples, the predicting model and the model parameters estimation method [10,11], and hence the SWCC model parameters are subject to high uncertainty [12,13]. A better estimation of SWCC is expected for a given soil class through statistical analysis of SWCC distribution, where the model parameters can be regarded as random variables [14,15].…”

Section: Introductionmentioning

confidence: 99%

Uncertainty of the Soil–Water Characteristic Curve and Its Effects on Slope Seepage and Stability Analysis under Conditions of Rainfall Using the Markov Chain Monte Carlo Method

Liu

Luo

Huang

et al. 2017

Water

View full text Add to dashboard Cite

Abstract:It is important to determine the soil-water characteristic curve (SWCC) for analyzing slope seepage and stability under the conditions of rainfall. However, SWCCs exhibit high uncertainty because of complex influencing factors, which has not been previously considered in slope seepage and stability analysis under conditions of rainfall. This study aimed to evaluate the uncertainty of the SWCC and its effects on the seepage and stability analysis of an unsaturated soil slope under conditions of rainfall. The SWCC model parameters were treated as random variables. An uncertainty evaluation of the parameters was conducted based on the Bayesian approach and the Markov chain Monte Carlo (MCMC) method. Observed data from granite residual soil were used to test the uncertainty of the SWCC. Then, different confidence intervals for the model parameters of the SWCC were constructed. The slope seepage and stability analysis under conditions of rainfall with the SWCC of different confidence intervals was investigated using finite element software (SEEP/W and SLOPE/W). The results demonstrated that SWCC uncertainty had significant effects on slope seepage and stability. In general, the larger the percentile value, the greater the reduction of negative pore-water pressure in the soil layer and the lower the safety factor of the slope. Uncertainties in the model parameters of the SWCC can lead to obvious errors in predicted pore-water pressure profiles and the estimated safety factor of the slope under conditions of rainfall.

show abstract

Predicting bimodal soil–water characteristic curves and permeability functions using physically based parameters

Cited by 96 publications

References 40 publications

Hydro-mechanical coupling effect on surficial layer stability of unsaturated expansive soil slopes

Hydro-mechanical coupling effect on surficial layer stability of unsaturated expansive soil slopes

Experiment and Modeling of Soil-Water Characteristic Curve of Unsaturated Soil in Collapsing Erosion Area

Uncertainty of the Soil–Water Characteristic Curve and Its Effects on Slope Seepage and Stability Analysis under Conditions of Rainfall Using the Markov Chain Monte Carlo Method

Contact Info

Product

Resources

About