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Understanding the Discrete Element Method - Simulation of Non-Spherical Particles for Granular and Multi-body Systems (Hardcover) Loot Price: R3,463
Discovery Miles 34 630
Understanding the Discrete Element Method - Simulation of Non-Spherical Particles for Granular and Multi-body Systems...

Understanding the Discrete Element Method - Simulation of Non-Spherical Particles for Granular and Multi-body Systems (Hardcover)

Hans-Georg Matuttis, Jian Chen

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Loot Price R3,463 Discovery Miles 34 630 | Repayment Terms: R325 pm x 12*

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"Gives readers a more thorough understanding of DEM and equips researchers for independent work and an ability to judge methods related to simulation of polygonal particles"Introduces DEM from the fundamental concepts (theoretical mechanics and solidstate physics), with 2D and 3D simulation methods for polygonal particlesProvides the fundamentals of coding discrete element method (DEM) requiring little advance knowledge of granular matter or numerical simulationHighlights the numerical tricks and pitfalls that are usually only realized after years of experience, with relevant simple experiments as applicationsPresents a logical approach starting withthe mechanical and physical bases, followed by a description of the techniques and finally their applicationsWritten by a key author presenting ideas on how to model the dynamics of angular particles using polygons and polyhedralAccompanying website includes MATLAB-Programs providing the simulation code for two-dimensional polygons

Recommended for researchers and graduate students who deal with particle models in areas such as fluid dynamics, multi-body engineering, finite-element methods, the geosciences, and multi-scale physics.

General

Imprint: John Wiley & Sons
Country of origin: United States
Release date: June 2014
First published: 2014
Authors: Hans-Georg Matuttis • Jian Chen
Dimensions: 252 x 178 x 27mm (L x W x T)
Format: Hardcover
Pages: 448
ISBN-13: 978-1-118-56720-3
Categories: Books > Science & Mathematics > Physics > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 1-118-56720-X
Barcode: 9781118567203

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