Prediction of the Soil-Water Characteristic Curve Based on Grain-Size-Distribution and Index Properties

Perera, Y. Y.; Zapata, Claudia E.; Houston, William N.; Houston, Sandra L.

doi:10.1061/40776(155)4

Cited by 63 publications

(64 citation statements)

References 9 publications

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“…Chiu and Shackelford [45] obtained maximum volumetric water contents θ m from 0.84 to 0.90 of the saturated value θ s during the wetting process of compacted sand-kaolin mixtures. After several days of soaking, Perera et al [46] determined that the degree of saturation was 87%-100% for the clayey samples.…”

Section: Test Resultsmentioning

confidence: 99%

“…During both the drying and the wetting process, the Zapata [59] model seems to perform reasonably well. On the other hand, the model proposed by Perera et al [46] was unable to accurately predict the SWCC, especially for the drying process (SSR = 0.103). However, it was noted that this model performed much better if the clay percentage (30.3%) was used instead of P 200 ( Figure 11).…”

Section: Prediction Modelsmentioning

confidence: 96%

“…The FX equation parameters were obtained by using the correlation models proposed by Zapata [59] and Perera et al [46]. Both models use only two basic material properties: the percent passing through number 200 sieve (P 200 ) and PI.…”

Section: Prediction Modelsmentioning

confidence: 99%

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Soil-Water Characteristic Curve of Residual Soil from a Flysch Rock Mass

et al. 2018

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Depending on the nature of the material and suction range, laboratory measurements of the soil-water characteristic curve (SWCC) can be time-consuming and expensive, especially for residual soils, in which a wide range of particle sizes and soil structures typically results in SWCCs that cover a wide range of suction. Investigations of the SWCCs of residual soil from flysch rock masses are rare, and so far, no results were presented in the literature which were obtained by performing measurements on undisturbed specimens. In this paper, a detailed examination of water retention characteristics is performed for a specific type of residual soil (CL) formed by the weathering of a flysch rock mass. Measurements performed by using different techniques and devices on intact specimens were successfully combined to obtain the SWCC during both drying and wetting processes, under different stress conditions, and from saturated to air-dried conditions. Used procedures are suitable for the determination of SWCCs of soils that undergo volume changes during the drying or the wetting process, since instantaneous volumetric water content can be determined. Results presented in this paper can be used to assess the influence of desaturation of the residual soil covering flysch slopes during dry summer periods by providing key-in material properties required to analyze the transient rainfall infiltration process.

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Section: Test Resultsmentioning

confidence: 99%

Section: Prediction Modelsmentioning

confidence: 96%

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Soil-Water Characteristic Curve of Residual Soil from a Flysch Rock Mass

et al. 2018

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“…Statistical analyses, physical tests, Artificial Neural Network (ANN) and Genetic Programming (GP) have been proposed by different researchers for determination of the SWCC (Zapata, 2000, Perera, 2005, Johari et al, 2006, Haverkamp et al, 1986, Gupta et al, 1979, Fredlund et al, 1997, Aubertin et al, 2003, Arya, 1981. It is reported that predictive models can produce the SWCC with 93% precision (Johari et al, 2003).…”

Section: Introductionmentioning

confidence: 97%

Real-Time Modeling of Moisture Distribution in Subgrade Soils

Hedayati

Hossain

Mehdibeigi

et al. 2014

Geo-Congress 2014 Technical Papers

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Swelling and shrinkage of expansive subgrade soils in North Texas causes deep cracks and surficial distresses in pavements. Since this behavior is affected by changes in water content of the soil, evaluating moisture variation in the subgrade soil could provide an estimation of pavements deformation. The objective of the current research is to investigate the moisture variation of a pavement site due to real time environmental factors. For this study, a 2-lane rural road in Kaufman County, Texas was selected for data acquisition and monitoring purposes. Soil test borings were conducted to determine subgrade condition and moisture sensors were installed at 1m and 4.5m depth to monitor in-situ moisture content every hour. In addition, a rain gauge was used to record the precipitation at the site. The main wetting branch of the soil water characteristics curve (SWCC) was estimated from soil's physical properties and incorporated into Finite Element (FE) software PLAXFlow for transient analysis of moisture variation. The FE results were compared with direct field measurements. Model outputs and sensor readings indicated significant variation of moisture content due to rainfall. Lower moisture content accompanied with considerable variations was recorded at shallow depths, while moisture variation at greater depths was mainly controlled by groundwater. The FE results were in line with direct field measurements, confirming the validity of the estimated parameters. The FE analysis could be utilized for determination of the hydraulic balance of the subgrade and has the potential to be considered as part of the future design procedures.

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“…It has long become common practice [6]- [9] to estimate the properties of unsaturated soils using soil-water characteristics curves (SWCC), which define the relationship between the soil suction and the gravimetric water (w) content (or either volumetric water content or the degree of saturation). Such SWCC can readily be obtained through a series of laboratory tests, or alternatively, they can be derived from empirical correlations established between soil suction and soil index properties [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Effect of Gravel Content on Soil Suction

Liu¹

2017

GEOMATE

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This paper seeks to a) investigate the effect of gravel on soil suction and b) establish whether results of standard suction tests using filter paper can accurately represent the value of suction that would be expected in the field. Eight natural soils with different soil gradation and plasticity were used to prepare two types of specimens: a) the "original" specimens (no change compared to the field soil), and b) "sieved" specimens -when the "original" soil was passed through a 2-mm sieve to meet the standard requirement. Comparisons of soil-water characteristics curves (SWCC) obtained for both types of specimens were made to better understand the effect of gravel content on total and matric suction. The obtained data indicated that the results of standard tests can significantly overestimate the soil suction. In particularly, it was found that as the gravel content increased from 4.8 to 19.6%, the difference in suction between the "original" and "sieved" specimens increased to 14% (total suction) and almost 20% (matric suction). The experimental data showed that the effect of gravel was more pronounced for low plasticity soils, compared to high and very high plasticity soils, in which the influence of gravel on suction was found to be insignificant. Although the "sieved" specimens tended to produce higher values of suction, this tendency might reverse for high and very high plasticity soils when their liquidity index (LI) became positive.

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Prediction of the Soil-Water Characteristic Curve Based on Grain-Size-Distribution and Index Properties

Cited by 63 publications

References 9 publications

Soil-Water Characteristic Curve of Residual Soil from a Flysch Rock Mass

Soil-Water Characteristic Curve of Residual Soil from a Flysch Rock Mass

Real-Time Modeling of Moisture Distribution in Subgrade Soils

Effect of Gravel Content on Soil Suction

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