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Peter Cundall

Researcher at University of Minnesota

Publications -  64
Citations -  36859

Peter Cundall is an academic researcher from University of Minnesota. The author has contributed to research in topics: Discrete element method & Rock mass classification. The author has an hindex of 33, co-authored 62 publications receiving 32301 citations.

Papers
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Journal Article

Discrete numerical model for granular assemblies.

Peter Cundall, +1 more
- 01 Jan 1979 - 
TL;DR: The distinct element method as mentioned in this paper is a numerical model capable of describing the mechanical behavior of assemblies of discs and spheres and is based on the use of an explicit numerical scheme in which the interaction of the particles is monitored contact by contact and the motion of the objects modelled particle by particle.
Journal ArticleDOI

A discrete numerical model for granular assemblies

Peter Cundall, +1 more
- 01 Mar 1979 - 
TL;DR: The distinct element method as mentioned in this paper is a numerical model capable of describing the mechanical behavior of assemblies of discs and spheres and is based on the use of an explicit numerical scheme in which the interaction of the particles is monitored contact by contact and the motion of the objects modelled particle by particle.
Journal ArticleDOI

A bonded-particle model for rock

TL;DR: In this paper, a numerical model for rock is proposed in which the rock is represented by a dense packing of non-uniform-sized circular or spherical particles that are bonded together at their contact points and whose mechanical behavior is simulated by the distinct element method using the two-and three-dimensional discontinuum programs PFC2D and PFC3D.
Journal ArticleDOI

Formulation of a three-dimensional distinct element model - part i. a scheme to detect and represent contacts in a system composed of many polyhedral blocks

TL;DR: The distinct element method has advanced to a stage where the complex mechanical interactions of a discontinuous system can be modelled in three dimensions and an efficient data structure is utilizes which permits the rapid calculation on a personal computer of systems involving several hundred particles.