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Hydro-Mechanical Properties of an Unsaturated Frictional Material

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52 CHAPTER 2. STATE OF THE ART<br />

Degree <strong>of</strong> saturation Sr0 for (ua − uw) ≈ 0: During the imbibition process <strong>of</strong> a soil some<br />

air bubbles c<strong>an</strong> be occluded in the pore water. If the ratio <strong>of</strong> the net volume <strong>of</strong> pore<br />

water to the total volume <strong>of</strong> pore water (including the volume <strong>of</strong> the closed air bubbles)<br />

during the imbibition process is assumed to be const<strong>an</strong>t, then the ratio is just the degree<br />

<strong>of</strong> saturation Sr0 for (ua − uw) ≈ 0. The parameter Sr0 influences mainly the saturated<br />

zone <strong>an</strong>d thus influences the air-entry value ψaev.<br />

Various hysteresis models for calibrating the soil-water characteristic curve were compared to<br />

each other by several authors Jaynes (1984), Viaene et al. (1994), Pham et al. (2005). Jaynes<br />

(1984) compared the so called point method (D<strong>an</strong>e & Wierenga 1975), the slope method that<br />

is a modified point method, the linear method (H<strong>an</strong>ks 1969) <strong>an</strong>d the domain model (Mualem<br />

1974). While the last two models predicted the best shape, the linear method was sug-<br />

gested to use for numerical simulation <strong>of</strong> hysteretic flow because <strong>of</strong> its simplicity. A statis-<br />

tical <strong>an</strong>alysis <strong>of</strong> 6 hysteresis soil-water characteristic curves was carried out by Viaene et al.<br />

(1994). The authors considered empirical models (H<strong>an</strong>ks 1969, Scott et al. 1983) as well as<br />

independent (Mualem 1974, Parl<strong>an</strong>ge 1976) <strong>an</strong>d dependent (Mualem 1984a) domain models.<br />

Best agreement between observed <strong>an</strong>d measured data was found when using both models <strong>of</strong><br />

Mualem, which are not trivial to use. When applying the empirical model by Scott et al.<br />

(1983) good agreement was found. They confirmed that neglecting the hysteresis behav-<br />

ior when describing drainage <strong>an</strong>d imbibition path results in signific<strong>an</strong>t errors. In a recent<br />

study Pham et al. (2005) compared 2 empirical models with 6 domain models on 34 soils<br />

different <strong>of</strong> type. For the prediction <strong>of</strong> drainage <strong>an</strong>d imbibition curves the empirical model<br />

by Feng & Fredlund (1999) was suggested. For predicting sc<strong>an</strong>ning curves the domain model<br />

by Mualem (1974) seemed to be the most accurate.<br />

Discussion on soil-water characteristic curve as expressed by linearized functions <strong>an</strong>d es-<br />

sentially non-linear functions have been presented by Stoimenova et al. (2003a,b, 2005). The<br />

methodology to assess the quality <strong>of</strong> the curve fitting through statistical <strong>an</strong>alysis is also ad-<br />

dressed. Agus et al. (2003) assessed three statistical models (Childs <strong>an</strong>d Collis-George model<br />

(1950), Burdine model (1950), Mualem model (1976)) with different soil-water characteristic<br />

curves (Gardner 1958, v<strong>an</strong> Genuchten 1980, Fredlund & Xing 1994).<br />

2.5.2 Models for <strong>Unsaturated</strong> Hydraulic Conductivity<br />

<strong>Unsaturated</strong> hydraulic conductivity functions c<strong>an</strong> be calculated using either <strong>an</strong> indirect<br />

method or a direct method. A variety <strong>of</strong> indirect methods c<strong>an</strong> be used to determine the<br />

unsaturated hydraulic conductivity function, namely, empirical models, macroscopic models<br />

<strong>an</strong>d statistical models (Leong & Rahardjo 1997a).

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