308
Views
19
CrossRef citations to date
0
Altmetric
Original Articles

Three-dimensional discontinuous deformation analysis (3-D DDA) method for particulate media applications

&
Pages 239-253 | Received 02 Feb 2012, Accepted 18 Jul 2012, Published online: 14 Sep 2012
 

Abstract

This paper presents a new numerical model for simulation of granular materials consisting of 3-D spheres bounded by rigid boundaries. The proposed model is based on Three-Dimensional Discontinuous Deformation Analysis (3-D DDA), a numerical method recently developed for simulation of particles in motion. Stiffness and force matrices due to body forces, point loading, inertia forces, and displacement and directional constraints are derived in detail. Moreover, an efficient model for particle contacts in 3-D is presented. In this model, sphere-sphere and sphere-boundary contacts are simply transformed into the form of point-to-plane contacts. Normal and shear contact forces as well as friction force for both sphere-sphere and sphere-plane contact types are derived by vector analysis and the penalty method. The numerical model developed herein is a simple and efficient method that can be easily coded into a computer program. The validity and capability of the model are demonstrated by numerical results obtained for several illustrative examples. Furthermore, some examples are presented and discussed to illustrate the application of the 3-D DDA to particulate media.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 203.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.