Discrete Element Modeling of Cone Penetration Tests Incorporating Particle Shape and Crushing

Falagush, O.; McDowell, G. R.; Yu, Hai‐Sui

doi:10.1061/(asce)gm.1943-5622.0000463

Cited by 53 publications

(20 citation statements)

References 39 publications

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“…This future work will involve combining the key concepts of the above work with realistic shape [17], a vastly greater number of particles, polydisperse particle assemblies, a Hertzian contact law, and realistic, calibrated micro properties for both the particles and apparatus. …”

Section: Discussionmentioning

confidence: 99%

“…Table 1 shows the dimensions and boundary conditions of both the experimental results from Schnaid [16] and the optimal numerical calibration chamber. Although this work (as well as the previous) uses spheres (which lack interlocking and can be considered unrealistic) readers are directed to [17] for related work that focuses on investigating both the effects of particle shape and crushing during CPT using DEM. It should be noted that the objective of this paper is not an attempt to model a single specific piece of data for a specific soil, but further confirm the suitability of simulating CPT using a realistic cone size with DEM in an aggregate comprising sand-sized grains, to investigate methods of improving simulation time and further explore the effects of various micro parameters on the macroscopic behaviour of granular material, and most significantly, compare the results with solutions using cavity expansion theory.…”

Section: Modelling Procedures and Sample Preparationmentioning

confidence: 99%

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Discrete element modelling and cavity expansion analysis of cone penetration testing

Falagush

McDowell

et al. 2015

Granular Matter

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. AbstractThis paper uses the discrete element method (DEM) in three dimensions to simulate cone penetration testing (CPT) of granular materials in a calibration chamber. Several researchers have used different numerical techniques such as strain path methods and finite element methods to study CPT problems. The DEM is a useful alternative tool for studying cone penetration problems because of its ability to provide micro mechanical insight into the behaviour of granular materials and cone penetration resistance. A 30° chamber segment and a particle refinement method were used for the simulations. Giving constant mass to each particle in the sample was found to reduce computational time significantly, without significantly affecting tip resistance. The effects of initial sample conditions and particle friction coefficient on tip resistance are investigated and found to have an important effect on the tip resistance. Biaxial test simulations using DEM are conducted to obtain the basic granular material properties for obtaining CPT analytical solutions based on continuum mechanics. Macro properties of the samples for different input micro parameters are presented and used to obtain the analytical CPT results. Comparison between the numerical simulations and analytical solutions show good agreement.

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Section: Discussionmentioning

confidence: 99%

Section: Modelling Procedures and Sample Preparationmentioning

confidence: 99%

Discrete element modelling and cavity expansion analysis of cone penetration testing

Falagush

McDowell

et al. 2015

Granular Matter

Self Cite

View full text Add to dashboard Cite

show abstract

“…Numerical modelling, e.g. discrete element method and molecular dynamics method, has been shown to constitute an important way to understand the influences of particle shape on the behaviour of granular materials (e.g., [6][7][8][9][10]). Although comprehensive laboratory and numerical tests have been conducted, there are few techniques to predict the mechanical behaviour of irregularly shaped particles.…”

Section: Introductionmentioning

confidence: 99%

3D quantitative shape analysis on form, roundness, and compactness with μCT

2016

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Particle shape plays an important role in determining the engineering behaviour of granular materials. In this regard, characterisation and quantification of particle shape are essential for understanding the behaviour of granular materials. X-ray micro-computed tomography (μCT) enables observation of particle morphology at ever-greater resolutions. The challenge has thus become extracting quantified shape parameters from these rich three-dimensional (3D) images. In this paper, we implement X-ray μCT to obtain 3D particle morphology and utilize image processing and analysis techniques to quantify it at different scales. A novel framework is proposed to measure 3D shape parameters of form, roundness, and compactness. New 3D roundness indexes were formulated from the local curvature on reconstructed triangular surface mesh. Subsequently, this method is utilized to study the change of particle shape by single particle crushing tests on Leighton Buzzard sand (LBS) particles. It is found that compactness value (i.e., sphericity) could be influenced by both form and roundness. Then, the distributions of shape parameters are characterised by Weibull statistics. It shows that single particle crushing tests generate more irregular fragments which have smaller shape parameters with larger variance for the measured shape parameters.

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“…In parallel with the experimental investigations, considerable advances have also been achieved on this topic using the discrete element method (DEM), whose advantages include full access to the particle-scale kinetic and kinematic information and the potential of being a virtual testing tool substituting physical model tests (Lobo-Guerrero and Vallejo 2005;Jiang et al 2006;Wang et al 2007aWang et al , 2007bArroyo et al 2011;Wang and Jiang 2011;Lin and Wu 2012;Mcdowell et al 2012;Butlanska et al 2014;Falagush et al 2015). In a previous related study (Wang and Zhao 2014), the authors made a detailed discrete-continuum analysis of the pile penetration behavior based on the two-dimensional (2D) DEM simulation results.…”

Section: Introductionmentioning

confidence: 99%

Depth-independent cone penetration mechanism by a discrete element method (DEM)-based stress normalization approach

Liu

Wang

2016

Can. Geotech. J.

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A two-dimensional discrete element model of driven piles in crushable sand was developed and validated against laboratory data. Numerical experiments were conducted to investigate the effects on the pile penetration behavior of initial sample porosity, particle crushability, initial stress state, ratio of pile diameter to median particle diameter, and ratio of model width to pile diameter. A new stress normalization method is adopted to synthesize the data at different driven depths from the simulations. The normalized vertical and horizontal stress fields surrounding the pile show an invariable pattern of stress distribution, suggesting a unique penetration mechanism independent of the penetration depth. The validity of the discrete element method (DEM) simulation results is verified by comparing the stress distributions to those observed from calibration chamber tests on model pile installation in sands.

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Discrete Element Modeling of Cone Penetration Tests Incorporating Particle Shape and Crushing

Cited by 53 publications

References 39 publications

Discrete element modelling and cavity expansion analysis of cone penetration testing

Discrete element modelling and cavity expansion analysis of cone penetration testing

3D quantitative shape analysis on form, roundness, and compactness with μCT

Depth-independent cone penetration mechanism by a discrete element method (DEM)-based stress normalization approach

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