A generalized water retention model with soil fabric evolution

2021 ◽  
Vol 25 ◽  
pp. 100205
Author(s):  
Yafei Qiao ◽  
Angelica Tuttolomondo ◽  
Xingbang Lu ◽  
Lyesse Laloui ◽  
Wenqi Ding
2017 ◽  
Vol 54 (7) ◽  
pp. 915-925 ◽  
Author(s):  
Anne-Catherine Dieudonne ◽  
Gabriele Della Vecchia ◽  
Robert Charlier

The water retention behaviour of compacted bentonites is strongly affected by multi-physical and multi-scale processes taking place in these materials. Experimental data have evidenced major effects of the material dry density, the imposed volume constraints, and the soil fabric. This paper presents a new water retention model accounting for proper retention mechanisms in each structural level of compacted bentonites, namely adsorption in the intra-aggregate pores and capillarity in the inter-aggregate ones. The model is calibrated and validated against experimental data on different bentonite-based materials, showing good capabilities in capturing the main features of the behaviour. The model is able to reproduce experimental data on compacted bentonites over a wide range of suction values, within a unified framework, and using a limited number of parameters. Some of the parameters introduced are shown to take approximately the same value for several bentonites, providing a significant basis for preliminary design when dedicated experiments are missing.


2016 ◽  
Vol 6 (1) ◽  
pp. 106-111 ◽  
Author(s):  
C. W. W. Ng ◽  
J. J. Ni ◽  
A. K. Leung ◽  
Z. J. Wang

2016 ◽  
Vol 01 (03n04) ◽  
pp. 1640005 ◽  
Author(s):  
Jiangtao Wei ◽  
Gang Wang

Cyclic liquefaction of sands is influenced by many factors including the initial fabric. Yet, it is difficult to quantify the soil fabric using laboratory technology. In this study, discrete element method (DEM) is used to numerically simulate the process of liquefaction under undrained cyclic loading. Samples with the same void ratio and varying degrees of fabric anisotropy are prepared by the pre-shearing method. Fabric evolution before and after cyclic liquefaction is quantified by the coordination number, angular distribution and the principal direction of inter-particle contacts. The DEM study demonstrated that the coordination number decreases and the fabric anisotropy increases gradually when the sand is cyclically sheared to approach the initial liquefaction. In this process, the principal direction of the anisotropic fabric tensor is not coaxial with the stress tensor. After initial liquefaction, all samples with different initial fabric evolve towards a same fabric, which is strongly anisotropic. The principal direction of the fabric aligns with the principal direction of the stress in the post-liquefaction stage.


2021 ◽  
Vol 11 (20) ◽  
pp. 9452
Author(s):  
Andrew Vidler ◽  
Olivier Buzzi ◽  
Stephen Fityus

The Hunter valley region in NSW Australia is an area with a heavy coal mining presence. As some mines come to their end of life, options are being investigated to improve the topsoil on post mining land for greater plant growth, which may allow economically beneficial farmland to be created. This research is part of an investigation into mixing a mine waste material, coal tailings, with topsoil in order to produce an improved soil for plant growth. Implementing such a solution requires estimation of the drying path of the water retention curves for the tailings and topsoil used. Instead of a lengthy laboratory measurement, a prediction of the drying curve is convenient in this context. No existing prediction models were found that were suitable for these mine materials, hence this paper proposes a simple and efficient model that can more accurately predict drying curves for these mine materials. The drying curves of two topsoils and two tailings from Australian coal mines were measured and compared with predictions using the proposed model, which performs favorably compared to several existing models in the literature. Additionally, the proposed model is assessed using data from a variety of fine- and coarse-grained materials in the literature. It is shown that the proposed model is overall more accurate than every other model assessed, indicating the model may be useful for various materials other than those considered in this study.


2020 ◽  
Vol 20 (8) ◽  
pp. 04020131
Author(s):  
Xu-tang Xu ◽  
Wen-bin Jian ◽  
Neng-sen Wu ◽  
Xiang Xu ◽  
Lian-jin Shao

2012 ◽  
Vol 35 (1) ◽  
pp. 103584
Author(s):  
L. D. Suits ◽  
T. C. Sheahan ◽  
Hossein Nowamooz ◽  
Farimah Masrouri

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