TY - JOUR
T1 - Fragment distributions for brittle rods with patterned breaking probabilities
AU - Higley, Michael
AU - Belmonte, Andrew
N1 - Funding Information:
We would like to thank Qiang Du, J. R. Gladden, J. Sellers, M. J. Shelley, and K. Sneppen for helpful discussions or comments, and acknowledge support from the National Science Foundation (SCREMS Grant DMS-0619587). We would also like to thank R. H. “Rob” Geist for experimental assistance.
PY - 2008/12/15
Y1 - 2008/12/15
N2 - We present a modeling framework for 1D fragmentation in brittle rods, in which the distribution of fragments is written explicitly in terms of the probability of breaks along the length of the rod. This work is motivated by the experimental observation of several preferred lengths in the fragment distribution of shattered brittle rods after dynamic buckling [J.R. Gladden, N.Z. Handzy, A. Belmonte, E. Villermaux, Dynamic buckling and fragmentation in brittle rods, Phys. Rev. Lett. 94 (2005) 35503]. Our approach allows for non-constant spatial breaking probabilities, which can lead to preferred fragment sizes, derived equivalently from either combinatorics or a nonhomogeneous Poisson process. The resulting relation qualitatively matches the experimentally observed fragment distribution, as well as some other common distributions, such as a power law with a cutoff.
AB - We present a modeling framework for 1D fragmentation in brittle rods, in which the distribution of fragments is written explicitly in terms of the probability of breaks along the length of the rod. This work is motivated by the experimental observation of several preferred lengths in the fragment distribution of shattered brittle rods after dynamic buckling [J.R. Gladden, N.Z. Handzy, A. Belmonte, E. Villermaux, Dynamic buckling and fragmentation in brittle rods, Phys. Rev. Lett. 94 (2005) 35503]. Our approach allows for non-constant spatial breaking probabilities, which can lead to preferred fragment sizes, derived equivalently from either combinatorics or a nonhomogeneous Poisson process. The resulting relation qualitatively matches the experimentally observed fragment distribution, as well as some other common distributions, such as a power law with a cutoff.
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U2 - 10.1016/j.physa.2008.09.015
DO - 10.1016/j.physa.2008.09.015
M3 - Article
AN - SCOPUS:54249110250
SN - 0378-4371
VL - 387
SP - 6897
EP - 6912
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
IS - 28
ER -