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Bibliographic Data
Control Number312465
Date and Time of Latest Transaction20150706095009.AM
General Information150706s |||||||||b ||00|||
Cataloging SourceSTII-DOST
Local Call NumberScienceDirect
Main Entry - Personal NameLusk, Mark T.
 Bartel, Timothy
 Dingreville, Remi
 Liangzhe Zhang
Title StatementA stochastic approach to capture crystal plasticity by Liangzhe Zhang and 3 others
Publication, Distribution, Etc.Amsterdam Elsevier Ltd. 2011
Physical Descriptionpages 1432-1444 computer file; text; 893kb
Bibliography, Etc. NoteIncludes bibliographical references
Summary, Etc.A stochastic crystal plasticity model is proposed and applied within the rate-independent regime. As opposed to conventional deterministic algorithms wherein multiple slip systems are activated and redundant constraints may exist, the new Monte Carlo plasticity (MCP) paradigm is based on a stochastic chain of singly activated slip systems and thus avoids the possible ill-condition associated with multi-slip algorithms. The choice of the activated slip system is made at each Monte Carlo (MC) step based on the Metropolis algorithm. The MCP model is implemented within a Material Point Method (MPM) as a constitutive model to capture the elasto-plastic behavior of polycrystalline materials. A comparison with a commonly used singular value decomposition (SVD) algorithm indicates that MCP offers superior computational efficiency while maintaining comparable accuracy
Subject Added Entry - Topical TermEngineering
 Railroads -- Analysis
 Railroad switches -- Analysis -- Models
 Algorithms -- Analysis
LocationDOST STII ScienceDirect NONPRINTS NP 14-16004 1 14-16004 Online/Download 2012-01-12
  
     
 
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Department of Science and Technology
Science and Technology Information InstituteScienceDirect
  
     
 
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