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Engineering computations, volume 32, issue 4 : advances in computational particle based methods.
Computational particle based methods provide unique and powerful numerical tools for modelling systems exhibiting discrete and/or discontinuous behaviour, such as granular materials. Such systems are highly heterogeneous, typically composed of voids and particles with different sizes and shapes. Geo...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Emerald Group Publ,
2015.
|
| Colección: | Engineering Computations: Volume 32, Issue 4.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Engineering computations, volume 32, issue 4 : |b advances in computational particle based methods. |
| 260 | |a London : |b Emerald Group Publ, |c 2015. | ||
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| 490 | 1 | |a Engineering Computations: Volume 32, Issue 4 | |
| 505 | 0 | |a Cover; Editorial advisory board; Guest editorial; Multiscale hydro-mechanical analysis of unsaturated granular materials using bridging scale method; Multiscale properties of dense granular materials; Characteristic lengths in Cosserat continuum modeling of granular materials; DEM analyses of shear band in granular materials; A yield function for granular materials based on microstructures; Effects of density ratio and diameter ratio on penetration of rotation projectile obliquely impacting a granular medium. | |
| 505 | 8 | |a Numerical study of concrete mixing transport process and mixing mechanism of truck mixerAsymmetric local velocity distribution in a driven granular gas; 2D particle contact-based meshfree method in CDEM and its application in geotechnical problems; Discrete modeling of rockfill materials considering the irregular shaped particles and their crushability; Analysis of ice load on conical structure with discrete element method; Particles deposition on microfiltration permeable boundary; Numerical simulation of impinging jet flows by modified MPS method. | |
| 520 | |a Computational particle based methods provide unique and powerful numerical tools for modelling systems exhibiting discrete and/or discontinuous behaviour, such as granular materials. Such systems are highly heterogeneous, typically composed of voids and particles with different sizes and shapes. Geological matter, soil and clay, soil-rock mixture in nature, geo-structure, concrete, etc. are some practical examples. Significant progress has been made in the development of particle based computational methods for granular materials in China over the last decade. This special issue contains 14 se. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Evolutionary computation. | |
| 650 | 6 | |a Réseaux neuronaux à structure évolutive. | |
| 650 | 7 | |a Evolutionary computation |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Owen, D. |t Advances in Computational Particle Based Methods. |d Bradford : Emerald Group Publishing Limited, ©2015 |z 9781785601941 |
| 830 | 0 | |a Engineering Computations: Volume 32, Issue 4. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=2093106 |z Texto completo |
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