Obtaining soil-water characteristic curves by numerical modeling of drainage in particulate media

详细信息    查看全文

• 作者：A. Shoarian Sattari^a ; ^{amir.shoarian@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; ^{sattari@gpi.uni-kiel.de" class="auth_mail" title="E-mail the corresponding author} ; N.K. Toker^b ; ^{toker@metu.edu.tr" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Unsaturated soils ; Soil&ndash ; water characteristic curve ; Packing algorithm ; Pore network ; Numerical modeling
• 刊名：Computers and Geotechnics
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：74
• 期：Complete
• 页码：196-210
• 全文大小：4764 K

文摘

Soil–water characteristic curve (SWCC) is widely used for obtaining mechanical and hydraulic properties of unsaturated soils, such as shear strength, deformation, permeability, and flow. An innovative approach, where a meso-scale medium is generated based on particle size distribution and void ratio of non-plastic soils, for estimating the drying SWCC is developed. With application of the finite difference and Newton-Raphson (Jacobian) approximations, the air-entry pressures of pore bodies in inter-particle medium (micro-scale) are determined and implemented in drainage simulation of the medium. The volumes of drained pore bodies and subsequently developed liquid bridges after each suction iteration are calculated and plotted. Eventually, homogeneity of the developed packing algorithm, parametric study, comparison of the simulated drying SWCC to experimental and estimation results as well as computational performance of the developed MATALB code is presented and discussed. It is shown that, the proposed method results in much superior approximation of SWCC in comparison to the two major estimation methods (Arya and Paris, 1981; Fredlund and Wilson, 1997) and due to its accuracy and time efficiency, the algorithm can even be a viable option for replacing the tedious experimental methods.