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Bibliographic Data
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20150706095009.AM
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$aSTII-DOST
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$aScienceDirect
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$a Lusk, Mark T.
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$a Bartel, Timothy
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$aDingreville, Remi
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$aLiangzhe Zhang
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$aA stochastic approach to capture crystal plasticity$cby Liangzhe Zhang and 3 others
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$aAmsterdam$bElsevier Ltd.$c2011
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$apages 1432-1444$bcomputer file; text; 893kb
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$aIncludes bibliographical references
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$aA stochastic crystal plasticity model is proposed and applied within the rate-independent regime. As opposed to conventional deterministic algorithms wherein multiple slip systems are activated and redundant constraints may exist, the new Monte Carlo plasticity (MCP) paradigm is based on a stochastic chain of singly activated slip systems and thus avoids the possible ill-condition associated with multi-slip algorithms. The choice of the activated slip system is made at each Monte Carlo (MC) step based on the Metropolis algorithm. The MCP model is implemented within a Material Point Method (MPM) as a constitutive model to capture the elasto-plastic behavior of polycrystalline materials. A comparison with a commonly used singular value decomposition (SVD) algorithm indicates that MCP offers superior computational efficiency while maintaining comparable accuracy.
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$aEngineering
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$aRailroads$xAnalysis
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$aRailroad switches$xAnalysis $x Models
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$aAlgorithms$xAnalysis
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$aDOST$bSTII$hScienceDirect$jNONPRINTS$kNP$p14-16004$t1$x14-16004$yOnline/Download$12012-01-12
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$wNONPRINTS
  
     
 
Physical Location
Department of Science and Technology
Science and Technology Information InstituteScienceDirect
  
     
 
Digital Copy
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