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Record Nr. |
UNINA9910460639103321 |
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Titolo |
Advances in computational particle based methods / / guest editors, Professor Y. T. Feng [and three others] |
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Pubbl/distr/stampa |
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[Bradford, England] : , : Emerald, , 2015 |
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©2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (259 p.) |
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Collana |
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Engineering Computations : International journal for computer-aided engineering and software, , 0264-4401 ; ; Volume 32, Issue 4 |
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Disciplina |
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Soggetti |
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Evolutionary computation |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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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 |
Numerical study of concrete mixing transport process and mixing mechanism of truck mixer Asymmetric 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 |
A comparative study of different baffles on mitigating liquids loshing in a rectangular tank due to a horizontal excitation |
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Sommario/riassunto |
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Computational particle based methods provide unique and powerful numerical tools for modelling systems exhibiting discrete and/or |
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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 |
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