A new probabilistic approach for predicting particle crushing in one-dimensional compression of granular soil
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 833-844 |
Journal / Publication | Soils and Foundations |
Volume | 54 |
Issue number | 4 |
Online published | 15 Jul 2014 |
Publication status | Published - Aug 2014 |
Link(s)
Abstract
This paper presents a new probability-based method for the prediction of particle crushing in the one-dimensional compression of granular soil. The method is comprised of a joint-probability particle crushing criterion that takes into account the statistical particle-scale stress distribution information derived from the Discrete Element Method (DEM) simulations and Weibulls distribution of particle crushing strength. A normalized tensile stress index f and a diameter index Id are introduced to quantify the statistical particle-scale data. The method is further implemented in DEM simulations and verified by comparing the simulation results with the experimental data of oedometer tests of sands.
Research Area(s)
- Discrete Element Method, Joint-probability crushing criterion, Particle crushing, Particle-scale stress distribution
Citation Format(s)
A new probabilistic approach for predicting particle crushing in one-dimensional compression of granular soil. / Zhou, Bo; Wang, Jianfeng; Wang, Huabin.
In: Soils and Foundations, Vol. 54, No. 4, 08.2014, p. 833-844.
In: Soils and Foundations, Vol. 54, No. 4, 08.2014, p. 833-844.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review