Tran, Canh-Dung and Tran-Cong, Thanh (2004) Element-free simulation of dilute polymeric flows using Brownian configuration fields. Korea-Australia Rheology Journal, 16 (1). pp. 1-15. ISSN 1226-119X
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The computation of viscoelastic flow using neural networks and stochastic simulation (CVFNNSS) is developed from the point of view of Eulerian CONNFFESSIT (calculation of non-Newtonian flows: finite elements and stochastic simulation techniques). The present method is based on the combination of radial basis function networks (RBFNs) and Brownian configuration fields (BCFs) where the stress is computed from an ensemble of continuous configuration fields instead of convecting discrete particles, and the velocity field is determined by solving the conservation equations for mass and momentum with a finite point method based on RBFNs. The method does not require any kind of element-type discretisation of the analysis domain. The method is verified and its capability is demonstrated with the start-up planar Couette flow, the Poiseuille flow and the lid driven cavity flow of Hookean and FENE model materials.
|Item Type:||Article (Commonwealth Reporting Category C)|
|Additional Information:||© 2004 by The Korean Society of Rheology.|
|Uncontrolled Keywords:||Brownian dynamics, RBFN, stochastic simulation, viscoelastic flow, Brownian configuration fields, CONNFFESSIT, finite point method, element-free method|
|Fields of Research (FOR2008):||01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010302 Numerical Solution of Differential and Integral Equations|
09 Engineering > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation
|Socio-Economic Objective (SEO2008):||E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering|
E Expanding Knowledge > 97 Expanding Knowledge > 970101 Expanding Knowledge in the Mathematical Sciences
|Deposited On:||03 Aug 2011 14:33|
|Last Modified:||03 Aug 2011 14:33|
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