3-D random packing of polydisperse particles and concrete aggregate grading

Fu, Gongkang; Dekelbab, W.

doi:10.1016/s0032-5910(03)00082-2

Cited by 74 publications

(24 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is found to be almost independent of the friction between the spheres for small friction coefficients. However, for larger coefficients, as expected, the packing fraction depends on the friction coefficient: increasing it, the system goes from dense to loose packing (see [11,17]). Studying the local packing fraction, it has also been shown in [20] that the effects of a wall in such experiments is to induce layering, resulting in a damped oscillation of the local packing fraction from the wall.…”

Section: Introductionsupporting

confidence: 70%

“…A lot of them focuses on the packing of (almost) monosized spheres. For example, experimental results concerning the packing fraction of systems made of monosized spheres can be found in [20,27], the study of contacts for such systems has been addressed in [2,4] and experimental results concerning polydisperse systems can be found in [11,17]. The packing fraction of randomly packed monosized spheres is known to be in the range [55%, 64%], depending on the history of the packing -how the spheres have been poured, has the packing been shaken or not - [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Numerical Investigation of Random Packing for Spherical and Nonconvex Particles

2009

View full text Add to dashboard Cite

Abstract. We simulate the sedimentation in a parallelepipedic container of spheres and nonconvex particles constituted by two overlapping spheres. We use the self-written code SCoPI. Thanks to an efficient handling of contacts between particles, it allowed us to consider up to 100, 000 spheres and 10, 000 nonconvex particles. The packing fraction (in bulk and close to a wall) as well as the mean value and the distribution of contacts of the final packings are reported. The results obtained for the classical case of spherical particles (packing fraction: 63.7%, mean number of contacts: 6) are in agreement with previous studies and validate the algorithm. The packing fraction for nonconvex particles increases and then decreases with respect to the aspect ratio, which is similar to the ellipsoid (convex) case. The number of contacts is different from the number of neighbours, which is of course never the case for spherical particles (convex particles). The number of contacts is discontinuous when slightly increasing the aspect ratio from the spherical case: it is equal to 6 in the spherical case and to 10 in the nonconvex case. These values correspond to the isocounting values, i.e. the number of contacts is twice the number of degrees of freedom. This contrasts with the ellipsoid case, where it sharply but continuously increases. Concerning the number of neighbours, it continuously increases for small aspect ratio (which is similar to the convex particle case), but decreases for higher aspect ratio.Résumé. Nous simulons la sédimentation dans un récipient parallélépipédique de sphères et de particules non convexes formées de deux sphères se chevauchant. Afin de réaliser ces simulations, de nouvelles fonctionnalités ontété ajoutées au logiciel SCoPI initialement développé par A. Lefebvre-Lepot. Grâcè a une prise en compte efficace des contacts, il nous a permis de considérer jusqu'à 100, 000 sphères et 10, 000 particules non convexes. La compacité (en volume et près d'une paroi), ainsi que la valeur moyenne et la distribution du nombre de contacts des configurations finales sont décrites. Les résultats obtenus dans le cas classique de particules sphériques (compacité de 63.7%, nombre moyen de contacts de 6) sont en accord avec de précédentesétudes et permettent de valider l'algorithme. La compacité pour les particules non convexes augmente puis diminue en fonction du rapport d'aspect, ce qui est similaire au cas (convexe) des ellipsoïdes. Le nombre de contacts est différent du nombre de voisins, ce qui bien entendu n'est jamais le cas pour des sphères (particules convexes). Le nombre de contacts est discontinu lorsque l'on augmente légèrement le rapport d'aspectà partir d'une sphère: il estégal a 6 dans le cas sphérique età 10 dans le cas non convexe. Ces valeurs correspondent aux valeurs isostatiques, c'està dire que le nombre de contacts estégal au double du nombre de degrés de liberté. Ce résultat diffère du cas des ellipsoïdes où il augmente fortement mais continûment. Quant au nombre de voisins, il augmente con...

show abstract

Section: Introductionsupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Dynamic Numerical Investigation of Random Packing for Spherical and Nonconvex Particles

2009

View full text Add to dashboard Cite

show abstract

“…Other researchers also discussed the relevance and importance of these factors [4][5][6][7][8][9]. The theory of aggregate particle packing has been discussed for more than a century [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] and includes discrete particle packing theories, continuous theories, and discrete element models (DEM). Discrete models consider the interaction effects between the particles to calculate the maximum packing density for binary, ternary or multi-component mixtures [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…It is postulated that the optimal PSD corresponds to the ''best'' or the densest packing of the constituent particles; however, modeling of the large particulate assemblies had demonstrated that the densest arrangements of particles corresponding to Random Apollonian Packings (RAP), are not practically achievable in concrete [31]. The static or dynamic DEMs generate virtual packing structures from a given PSD using random distribution of spherical particles [29][30][31]. The experimental packing depends on a loose or compacted condition of packing, packing energy, packing methods which have to be specified prior to correlating the experiments and the models.…”

Section: Introductionmentioning

confidence: 99%

The optimization of aggregate blends for sustainable low cement concrete

Moini

Flores-Vivián

Amirjanov

et al. 2015

Construction and Building Materials

View full text Add to dashboard Cite

“…More recently, Wong and Kwan [14] and Kwan and Fung [15] compared their experimentally measured packing density results with the theoretically predicted results by existing packing models to counter check the accuracies of the experimental results and the applicability of the existing packing models. Apart from packing models, computer simulations have also been developed to study the packing of particles [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Wet packing of blended fine and coarse aggregate

Kwan

Fung

2011

Mater Struct

View full text Add to dashboard Cite

All codified methods for measuring the packing density of aggregate are carried out under dry condition. However, these dry packing methods do not account for the effect of water in the concrete mix. In a previous study, a wet packing method for measuring the packing density of fine aggregate under wet condition has been developed and it was found that the packing density of fine aggregate can be substantially higher under wet condition than dry condition. Nevertheless, many researchers still believe that for coarse aggregate, it does not matter much whether the packing density is measured under dry or wet condition. In this study, the wet packing method was extended to measure the packing density of coarse aggregate and blended fine and coarse aggregate. The results revealed that whilst the packing density of coarse aggregate is only slightly higher under wet condition than dry condition, the packing density of blended fine and coarse aggregate is highly dependent on whether the aggregate is dry or wet. Hence, when measuring the packing density of blended aggregate, the wet packing method should always be used.

show abstract

3-D random packing of polydisperse particles and concrete aggregate grading

Cited by 74 publications

References 8 publications

Dynamic Numerical Investigation of Random Packing for Spherical and Nonconvex Particles

Dynamic Numerical Investigation of Random Packing for Spherical and Nonconvex Particles

The optimization of aggregate blends for sustainable low cement concrete

Wet packing of blended fine and coarse aggregate

Contact Info

Product

Resources

About