Stochastic models of polymeric fluids at small Deborah number

T. Li, E. Vanden-Eijnden, P. Zhang, W. E

Research output: Contribution to journalArticlepeer-review

Abstract

Stochastic models are considered as a numerical tool for simulating the dynamic behavior of polymeric fluids. At small Deborah number, straightforward numerical integration of these models is both costly because of the separation of time scales and inaccurate because of the large numerical fluctuation. A new technique, motivated by the recently developed heterogeneous multi-scale method (HMM), is introduced to overcome these problems.

Original languageEnglish (US)
Pages (from-to)117-125
Number of pages9
JournalJournal of Non-Newtonian Fluid Mechanics
Volume121
Issue number2-3
DOIs
StatePublished - Aug 20 2004

Keywords

  • Brownian configuration fields (BCF)
  • Dumbbell model
  • Heterogeneous multi-scale method (HMM)
  • Stochastic multi-scale decomposition

ASJC Scopus subject areas

  • General Chemical Engineering
  • General Materials Science
  • Condensed Matter Physics
  • Mechanical Engineering
  • Applied Mathematics

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