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Predicting Hysteresis of the Water Retention Curve from Basic Properties of Granular Soils
Authors:Abdelkabir Maqsoud  Bruno Bussière  Michel Aubertin  Mamert Mbonimpa
Institution:1. Department of Applied Sciences, Industrial NSERC Polytechnique-UQAT Chair in Environment and Mine Wastes Management, Université du Québec en Abitibi-Témiscamingue, 445 University Blvd, Rouyn-Noranda, QC, J9X 5E4, Canada
2. Departement of Civil, Geological and Mining Engineering, Industrial NSERC Polytechnique-UQAT Chair in Environment and Mine Wastes Management, école Polytechnique de Montréal, P.O.Box 6079, Stn Centre-ville, Montreal, QC, H3C 3A7, Canada
Abstract:The water retention curve (WRC), which represents the relationship between volumetric water content (θ) and suction (ψ), is required to analyze the hydro-geotechnical response of unsaturated soils. The laboratory (or field) determination of the WRC can however be time consuming and difficult to conduct. A practical alternative, particularly useful at the preliminary stages of a project, is to estimate the WRC using a predictive model based on basic geotechnical properties that are easy to obtain. One common limitation of such predictive models is due to hysteresis effects, which are not taken into account by most of these models. The authors present in this paper an extended version of the Modified Kovács (MK) predictive model that incorporates hysteresis of the WRC along different paths, including the main wetting and drying curves and the wetting and drying scanning curves for granular soils. The model formulation is presented, and predictions are compared to experimental data obtained on different granular soils. The results show a good agreement for the main and scanning curves.
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