Volume 36
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Di, S., Xue, Y., Bai, X., & Wang, Q. (2018). Effects of model size and particle size on the response of sea-ice samples created with a hexagonal-close-packing pattern in discrete-element method simulations. Particuology, 36, 106-113. https://doi.org/10.1016/j.partic.2017.04.004
Effects of model size and particle size on the response of sea-ice samples created with a hexagonal-close-packing pattern in discrete-element method simulations
Shaocheng Di, Yanzhuo Xue *, Xiaolong Bai, Qing Wang
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
10.1016/j.partic.2017.04.004
Volume 36, February 2018, Pages 106-113
Received 25 August 2016, Revised 31 March 2017, Accepted 25 April 2017, Available online 2 August 2017, Version of Record 22 December 2017.
E-mail: xueyanzhuo@hrbeu.edu.cn

Highlights

• Effects of model size and particle size on the response of sea-ice samples were analyzed.

• Samples with same particle number and packing configuration have similar responses.

• A scaling law of particle assemblies was proposed numerically.

• The relative particle size D/L is a significant parameter that can eliminate the size effect.


Abstract

We investigated the effects of model size and particle size on the simulated macroscopic mechanical properties, uniaxial compressive strength, Young's modulus, and flexural strength of sea-ice samples, using the discrete-element method (DEM) with a bonded-particle model. Many different samples with a hexagonal-close-packing pattern and a unique particle size were considered, and several ratios of particle size to sample dimension (D/L) were studied for each sample. The macroscopic mechanical properties simulated by the DEM decrease monotonously with an increase in D/L. For different samples with different particle sizes, the macroscopic mechanical properties will be identical when D/L is constant. The quantitative relationships between macroscopic mechanical properties and ratio of particle size to sample size are important aspects in engineering applications of the DEM method. The results provide guidance on the choice of a particle size in the DEM simulation for numerical samples with a hexagonal-close-packing pattern.

Graphical abstract
Keywords
Discrete-element method; Bonded-particle model; Sample size; Particle size; Size effect