Computational Granular Dynamics : Models and Algorithms /
By: P�schel, Thorsten [author.1].
Contributor(s): Schwager, Thomas [author.2 ] | SpringerLink (Online service)0.
Material type:
BookBerlin, Heidelberg : Springer Berlin Heidelberg, 2005. Description: X, 322 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540277200.Subject(s): Physics. 0 | Computer mathematics. 0 | Continuum physics. 0 | Computational intelligence. 0 | Mechanics. 0 | Mechanics, Applied.14 | Physics.24 | Classical Continuum Physics.24 | Computational Science and Engineering.24 | Numerical and Computational Physics.24 | Computational Intelligence.24 | Theoretical and Applied Mechanics.1DDC classification: 531 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| PK Kelkar Library, IIT Kanpur | Available | EBK6782 |
Molecular Dynamics -- Event-Driven Molecular Dynamics -- Direct Simulation Monte Carlo -- Rigid-Body Dynamics -- Cellular Automata -- Bottom-to-Top Reconstruction -- Brownian Dynamics for the Simulation of Granular Flows.
Computer simulations not only belong to the most important methods for the theoretical investigation of granular materials, but also provide the tools that have enabled much of the expanding research by physicists and engineers. The present book is intended to serve as an introduction to the application of numerical methods to systems of granular particles. Accordingly, emphasis is placed on a general understanding of the subject rather than on the presentation of the latest advances in numerical algorithms. Although a basic knowledge of C++ is needed for the understanding of the numerical methods and algorithms in the book, it avoids usage of elegant but complicated algorithms to remain accessible for those who prefer to use a different programming language. While the book focuses more on models than on the physics of granular material, many applications to real systems are presented. 0
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