TY - JOUR
T1 - The effect of microscopic friction and size distributions on conditional probability distributions in soft particle packings
AU - Saitoh, Kuniyasu
AU - Magnanimo, Vanessa
AU - Luding, Stefan
N1 - Funding Information:
Acknowledgements We thank M. Tolomeo, V. Richefeu, G. Combe, and G. Viggiani for fruitful discussions. This work was financially supported by the NWO-STW VICI Grant 10828, the World Premier International Research Center Initiative (WPI), Ministry of Education, Culture, Sports, Science, and Technology, Japan (MEXT), and Kawai Foundation for Sound Technology & Music. This work was also supported by Grant-in-Aid for Scientific Research B (Grants Nos. 16H04025 and 26310205) and Grant-in-Aid for Research Activity Start-up (Grant No. 16H06628) from the Japan Society for the Promotion of Science (JSPS). A part of numerical computation has been carried out at the Yukawa Institute Computer Facility, Kyoto, Japan.
Publisher Copyright:
© 2016, OWZ.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Employing two-dimensional molecular dynamics (MD) simulations of soft particles, we study their non-affine responses to quasi-static isotropic compression where the effects of microscopic friction between the particles in contact and particle size distributions are examined. To quantify complicated restructuring of force-chain networks under isotropic compression, we introduce the conditional probability distributions (CPDs) of particle overlaps such that a master equation for distribution of overlaps in the soft particle packings can be constructed. From our MD simulations, we observe that the CPDs are well described by q-Gaussian distributions, where we find that the correlation for the evolution of particle overlaps is suppressed by microscopic friction, while it significantly increases with the increase of poly-dispersity.
AB - Employing two-dimensional molecular dynamics (MD) simulations of soft particles, we study their non-affine responses to quasi-static isotropic compression where the effects of microscopic friction between the particles in contact and particle size distributions are examined. To quantify complicated restructuring of force-chain networks under isotropic compression, we introduce the conditional probability distributions (CPDs) of particle overlaps such that a master equation for distribution of overlaps in the soft particle packings can be constructed. From our MD simulations, we observe that the CPDs are well described by q-Gaussian distributions, where we find that the correlation for the evolution of particle overlaps is suppressed by microscopic friction, while it significantly increases with the increase of poly-dispersity.
KW - DEM
KW - Force-chain networks
KW - Granular materials
KW - Quasi-static deformations
KW - Stochastic model
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U2 - 10.1007/s40571-016-0138-z
DO - 10.1007/s40571-016-0138-z
M3 - Article
AN - SCOPUS:85029911926
VL - 4
SP - 409
EP - 417
JO - Computational Particle Mechanics
JF - Computational Particle Mechanics
SN - 2196-4378
IS - 4
ER -