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Hydro-Mechanical Properties of an Unsaturated Frictional Material

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Chapter 8<br />

New SWCC Model for S<strong>an</strong>d<br />

including Sc<strong>an</strong>ning Curves<br />

8.1 General<br />

As a result <strong>of</strong> the present <strong>an</strong>alysis 2D models for the soil-water characteristic curve are pro-<br />

posed (Stoimenova et al. 2003b, 2005, 2006). The first model describes only the drainage<br />

process in the investigated s<strong>an</strong>d. The second model incorporates the hysteretic nature <strong>of</strong> the<br />

relationship between volumetric water content θ <strong>an</strong>d suction ψ including sc<strong>an</strong>ning imbibition<br />

curves. The models are based on non-linear least squares estimation <strong>of</strong> the data derived from<br />

experiments. Basic knowledge <strong>an</strong>d theory for process modeling was given in Chapter 3.<br />

For model building the available data <strong>of</strong> the tr<strong>an</strong>sient state column tests I are used<br />

(drainage <strong>an</strong>d imbibition results). The data contain measurements <strong>of</strong> the volumetric wa-<br />

ter content θ <strong>an</strong>d the suction ψ at five different levels within the s<strong>an</strong>d column. In this case,<br />

the suction ψ <strong>an</strong>d the initial imbibition suction s0 are used to obtain better estimates <strong>of</strong><br />

soil properties, such as soil-water characteristic curve. Incorporating this available informa-<br />

tion about the suction-water content relation, a model is constructed that c<strong>an</strong> be applied for<br />

prediction <strong>of</strong> the volumetric water content (saturation, gravimetric water content) for <strong>an</strong>y<br />

position along the column. The uncertainty related to different measurement errors <strong>of</strong> TDR’s<br />

is combined <strong>an</strong>d used for estimating a global prediction error. The estimated error <strong>of</strong> the<br />

model is valid in entire interval <strong>of</strong> suction-values <strong>an</strong>d for arbitrary depth level. The variable<br />

s0 represents the suction measured in the corresponding depth <strong>an</strong>d gives the initial suction<br />

distribution before each <strong>of</strong> the hydraulic loading test phases (imbibition process). Due to this<br />

the proposed 2D regression models acquire the adv<strong>an</strong>tage that they: i) c<strong>an</strong> be applied for<br />

prediction <strong>of</strong> θ for <strong>an</strong>y position along the column <strong>an</strong>d thus <strong>an</strong>y suction in the soil ii) give<br />

the functional form for the sc<strong>an</strong>ning curves. The experimental results are <strong>an</strong> effort to access<br />

based on statistical <strong>an</strong>alysis the hysteretic form <strong>of</strong> the soil-water characteristic curve <strong>an</strong>d to<br />

model sc<strong>an</strong>ning curves applying 2D statistical model.<br />

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