Particulate Discrete Element Modelling - A Geomechanics Perspective (Paperback)

Particulate discrete element analysis is becoming increasingly popular for research in geomechanics as well as geology, chemical engineering, powder technology, petroleum engineering and in studying the physics of granular materials. With increased computing power, practising engineers are also becoming more interested in using this technology for analysis in industrial applications. This is the first single work on Discrete Element Modelling (DEM) providing the information to get started with this powerful numerical modelling approach. Written by an independent author with experience both in developing DEM codes and using commercial codes, this book provides the basic details of the numerical method and the approaches used to interpret the results of DEM simulations. Providing a basic overview of the numerical method, Particulate Discrete Element Modelling discusses issues related to time integration and numerical stability, particle types, contact modelling and boundary conditions. It summarizes approaches to interpret DEM data so that users can maximize their insight into the material response using DEM. The aim of this book is to provide both users and prospective users of DEM with a concise reference book that includes tips to optimize their usage. Particulate Discrete Element Modelling is suitable both for first time DEM analysts as well as more experienced users. It will be of use to professionals, researchers and higher level students, as it presents a theoretical overview of DEM as well as practical guidance on running DEM simulations and interpreting DEM simulation data.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Applied Geotechnics
Release date:	April 2017
First published:	2011
Authors:	Catherine O'Sullivan
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	576
ISBN-13:	978-1-138-07489-7
Categories:	Books > Professional & Technical > Civil engineering, surveying & building > General
LSN:	1-138-07489-6
Barcode:	9781138074897

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