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A stochastic projection method for microchannel flow

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Abstract

The construction and implementation of a stochastic flow solver is described. The solver combines a spectral stochastic uncertainty representation scheme with a finite difference projection method for flow simulation. The uncertainty quantification scheme is based on representing the stochastic dependence of the solution in terms of the Polynomial Chaos system, and the coefficients in this representation are obtained using a Galerkin approach. It is shown that incorporation of the spectral uncertainty representation scheme into the projection method results in a coupled system of advection-diffusion equations for the various uncertainty fields, and in a decoupled system of pressure projection steps. This leads to a very efficient stochastic solver, whose advantages are illustrated using transient simulations of transport and mixing in a microchannel.

Original languageEnglish
Title of host publication2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001
EditorsM. Laudon, B. Romanowicz
Pages246-249
Number of pages4
Publication statusPublished - 1 Dec 2001
Externally publishedYes
Event2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001 - Hilton Head Island, SC, United States
Duration: 19 Mar 200121 Mar 2001

Publication series

Name2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001

Conference

Conference2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001
Country/TerritoryUnited States
CityHilton Head Island, SC
Period19/03/0121/03/01

Keywords

  • Navier-Stokes
  • Polynomial Chaos
  • Projection
  • Stochastic
  • Uncertainty

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