A nonlinear particle packing model for multi-sized granular soils

Liu, Zhang-Rong; Ye, Weimin; Zhang, Zhao; Wang, Qiong; Chen, Yong-Gui; Cui, Yu‐Jun

doi:10.1016/j.conbuildmat.2019.06.075

Cited by 21 publications

(15 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The value of e d /e D is higher for siltclay grain size than that for sand grain size. This is agreement with what was observed by Chang et al [30], Chang and Deng [42], and Liu et al [33] for sand-silt soils and granular soils. The reason causing this phenomenon was the difference in grain shape, wherein it was found that the shape of grains changes with decreasing size from rotund or angular to plate or acicular.…”

Section: Resultssupporting

confidence: 93%

“…For another important factor, namely, fine content, in the engineering practice, the extensive research in the field of concrete mixes was carried out to show the influence of fine content on the magnitude of minimum void ratio at the earliest [31]. Subsequently, it also has been confirmed that the void ratio will be affected by the change of fine content in the soil foundation, slope, and coarse grain [27,[32][33][34]. Kuerbis [35] has found that there is the nonlinear relationship between void ratio and fine content, and the mechanical behaviour of soil was affected.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio

Liang

et al. 2021

Geofluids

View full text Add to dashboard Cite

Minimum void ratio of tailings and its value change with fine content and are key design parameters for tailing consolidation and seepage stability. Based on the distribution of tailing grains with the sedimentary beach, we establish a minimum void ratio model for tailing grain in binary size, which requires only two parameters ( ε and ω ). Calibrations of the model using 168 groups of tests (22 kinds of grain size ratios with 7-9 kinds of fine contents) show two parameters that are fitting for power function, and the exponent values increase with the dominant grain size expanded. Besides, the exponent values are related to the equivalent grain size ratio, dominant grain size, and shape characteristics. The minimum void ratios with fine content are predicted under the derived model. Good agreement was obtained between the predictions and measurements, and the average discrepancies are less than 10%. And optimal void ratio and optimal fine content can be predicted, and the values are in good agreement with the experimental ones. Furthermore, based on the predicted optimal void ratio, the exponential relationship between the optimal void ratio and the equivalent grain size ratio may have no influence on the derived dominant grain size and shape characteristics. For tailings, further work is needed to verify if the derived exponential relationship between the optimal void ratio and the equivalent grain size ratio is valid.

show abstract

Section: Resultssupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio

Liang

et al. 2021

Geofluids

View full text Add to dashboard Cite

show abstract

“…The dependence of pore filling on the GSD is highlighted in several studies investigating the packing density (or total volume fraction of solids) of binary mixtures of spherical particles (i.e., two different sized particles present) [24][25][26]. For these mixtures, much higher densities (or pore filling) are achieved as the coarse:fine particle size ratio of the particles increases, as shown in Figure 2.…”

Section: Pore Dimension and Pore Fillingmentioning

confidence: 89%

A Simple Water Retention Model Based on Grain Size Distribution

2021

View full text Add to dashboard Cite

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.

show abstract

“…In principle, ϕ min should vary with particle size distribution, although theoretical particle packing models (e.g. Liu et al., 2019; Shen et al., 2019) suggest that these variations in ϕ min should be relatively small. Nimmo (2013) suggested that the closest particle packing in natural soils should result in porosities lying between c. 0.30 and 0.35 cm 3 /cm 3 .…”

Section: Concepts For Modelling Soil Structure Dynamicsmentioning

confidence: 99%

“…The minimum porosity ϕ min can be relatively easily measured for artificial porous materials (see Liu et al., 2019; Shen, Liu, Xu, & Wang, 2019 and references therein). This would probably not be so straightforward for natural soils, although some methods have been proposed (e.g.…”

Section: Concepts For Modelling Soil Structure Dynamicsmentioning

confidence: 99%

A framework for modelling soil structure dynamics induced by biological activity

Meurer

Barron

Chenu

et al. 2020

Global Change Biology

107

View full text Add to dashboard Cite

Soil degradation is a worsening global phenomenon driven by socio‐economic pressures, poor land management practices and climate change. A deterioration of soil structure at timescales ranging from seconds to centuries is implicated in most forms of soil degradation including the depletion of nutrients and organic matter, erosion and compaction. New soil–crop models that could account for soil structure dynamics at decadal to centennial timescales would provide insights into the relative importance of the various underlying physical (e.g. tillage, traffic compaction, swell/shrink and freeze/thaw) and biological (e.g. plant root growth, soil microbial and faunal activity) mechanisms, their impacts on soil hydrological processes and plant growth, as well as the relevant timescales of soil degradation and recovery. However, the development of such a model remains a challenge due to the enormous complexity of the interactions in the soil–plant system. In this paper, we focus on the impacts of biological processes on soil structure dynamics, especially the growth of plant roots and the activity of soil fauna and microorganisms. We first define what we mean by soil structure and then review current understanding of how these biological agents impact soil structure. We then develop a new framework for modelling soil structure dynamics, which is designed to be compatible with soil–crop models that operate at the soil profile scale and for long temporal scales (i.e. decades, centuries). We illustrate the modelling concept with a case study on the role of root growth and earthworm bioturbation in restoring the structure of a severely compacted soil.

show abstract

A nonlinear particle packing model for multi-sized granular soils

Cited by 21 publications

References 35 publications

Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio

Minimum Void Ratio Model Established from Tailings and Determination of Optimal Void Ratio

A Simple Water Retention Model Based on Grain Size Distribution

A framework for modelling soil structure dynamics induced by biological activity

Contact Info

Product

Resources

About