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 language | English (US) |
|---|---|
| Title of host publication | 2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001 |
| Editors | M. Laudon, B. Romanowicz |
| Pages | 246-249 |
| Number of pages | 4 |
| State | Published - 2001 |
| Externally published | Yes |
| Event | 2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001 - Hilton Head Island, SC, United States Duration: Mar 19 2001 → Mar 21 2001 |
Other
| Other | 2001 International Conference on Modeling and Simulation of Microsystems - MSM 2001 |
|---|---|
| Country/Territory | United States |
| City | Hilton Head Island, SC |
| Period | 03/19/01 → 03/21/01 |
Keywords
- Navier-Stokes
- Polynomial Chaos
- Projection
- Stochastic
- Uncertainty
ASJC Scopus subject areas
- Engineering(all)