Effect of particle shape on density and permeability of sands

Abstract

Particle shape is widely considered to be one of the most important factors affecting the behaviour of granular soils. This effect may change, based on variations in the grain size distribution. Therefore the effect of particle shape on the behaviour of granular soils should be investigated in soils of similar gradations. In this study, 20 different sands of five origins are initially subjected to image analyses in order to obtain data concerning shape characteristics. Then Proctor tests at three energy levels are conducted to obtain the densification characteristics of these soils. Basic statistical analyses are employed to obtain the distributions that the particle shape characteristics best fit. Empirical equations are developed to estimate the relative density of sands. Constant-head permeability tests are performed to determine the most suitable empirical formula for estimating the coefficient of permeability for granular soils. A new method for obtaining the shape coefficient for the Kozeny–Carman equation is proposed. Overall, relationships between a number of particle shape and fractal dimension parameters, as well as several statistics related to the relative density and permeability of soils, are investigated within an experimental framework.

Influence of Particle Size on the Friction and Interfacial Shear Strength of Sands of Similar Morphology

“…The stress-strain response and volume change behavior of sands in shear and interface shear are mainly influenced by the normal stress, method of testing and testing materials [1][2][3][4][5][6], morphological characteristics of sand [7][8][9][10][11][12] and surface roughness of the geosynthetic material at the interface [13][14][15][16][17][18]. Morphological characteristics of sand grains reflect the formation process, transportation process and material composition.…”

Loading Capacity and Deformation Characteristics of Tailings Based on a Fractal Geometrical Analysis of the Particle Microstructure

“…Particle shape is widely considered one of the most important factors affecting the behavior of granular soils [38]. It has been proven that the fractal dimension describing the characteristics of the particle shape is significantly related to the strength characteristics of a soil [39].…”

Prediction of shear development in clean sands by use of particle shape information and artificial neural networks

“…Broader explanation about roundness and sphericity determination can be found in Göktepe and Sezer (2010). It should be mentioned that, the roundness and sphericity parameters describes the particle shape at various scales.…”

“…Because a short literature review may include hundreds of studies concerning use of artificial neural network (ANN), fuzzy logic and expert system applications in geotechnical design and material modeling, many of the extensive studies cannot be given here whereas it is beyond the scope of this study. Soft computing techniques have been used in many fields of geotechnical engineering which can be distinguished as evaluation of lateral and frictional behavior of piles (Goh, 1995;Kim & Kim, 2001), modeling of CPT data (Goh, 1996), determination of particle size and consolidation characteristics (Goh, 1999), drained or strength parameter modeling of different sized soils (Agrawal, Frost, & Chameau, 1994;Attoh-Okine, 2004;Baykasoglu, Gullu, Canakci, & Obakir, 2008;Göktepe, Altun, Altintas, & Tan, 2008;Kaya, 2009;Kayadelen, Günaydın, & Fener, 2009;Khalili & Khabbaz, 1998), hydraulic conductivity prediction (Akbulut, 2005;Göktepe & Sezer, 2010), identification of compaction characteristics (Alavi, Gandomi, Gandomi, & Sadat Hosseini, 2009;Najjar, Basheer, & Naouss, 1996), slope stability investigations (Cho, 2009;Ferentinou & Sakellariou, 2007), liquefaction induced ground displacement prediction (Altun, Goktepe, Sezer, & Erdogan, 2005;Wang & Rahman, 1999), estimation of unsaturated soil properties (Habibagahi & Bamdad, 2003;Matsushi & Matsukura, 2006) and etc.…”