Technical Papers
Feb 23, 2016

Effect of Particle Shape and Fine Content on the Behavior of Binary Mixture

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Publication: Journal of Engineering Mechanics
Volume 143, Issue 1

Abstract

The behavior of binary granular mixture is studied by the discrete element method. This granular material contains large and small particles that are similar ellipsoids of different sizes. The size ratio of the major-axes of the large and small ellipsoids is 5. Samples of ellipsoids of different particle shapes have been created by pluviation method and the particle growth technique. Segregation is observed in samples prepared by pluviation method but not particle growth technique. Thus, nine very dense samples (≈ the lowest void ratio) with various fine contents (volume fraction of the small ellipsoids) are generated using the particle growth technique. The result indicates that the packing density is a function of particle shape and fine content. These very dense samples are then sheared under drained triaxial compression to very large strain to determine peak shear strength, critical state void ratio, and ultimate shear strength. Peak shear strength is affected more by particle shape than by fine content. The authors found that the effect of particle shape on the material behavior at critical state is not significant. Fine content affects the critical state void ratio but not the shear strength at very large strain.

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Acknowledgments

This work was partially supported by the National Natural Science Foundation of China (No. 51322905 and No. 51379161) and the National Basic Research Program of China (Project 2013CB035901).

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 143Issue 1January 2017

History

Received: Apr 20, 2015
Accepted: Dec 9, 2015
Published online: Feb 23, 2016
Discussion open until: Jul 23, 2016
Published in print: Jan 1, 2017

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Authors

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Tang-Tat Ng, F.ASCE [email protected]
Professor, Dept. Civil Engineering, Univ. of New Mexico, Albuquerque, NM 87131 (corresponding author). E-mail: [email protected]
Wei Zhou
Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China.
Xiao-Lin Chang
Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China.

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