We describe the construction and implementation of a stochastic Navier-Stok
es solver. The solver combines a spectral stochastic uncertainty representa
tion scheme with a finite difference projection method for flow simulation.
The uncertainty quantification scheme is adapted from the spectral stochas
tic finite element method (SSFEM), which is based on regarding uncertainty
as generating a new dimension and the solution as being dependent on this d
imension. In the SSFEM formalism, the stochastic dependence is represented
in terms of the polynomial chaos system, and the coefficients in the corres
ponding spectral representation are obtained using a Galerkin approach. It
is shown that incorporation of the spectral uncertainty representation sche
me into the projection method results in a coupled system of advection-diff
usion equations for the various uncertainty fields, and in a decoupled syst
em of pressure projection steps. This leads to a very efficient stochastic
solver, whose advantages are illustrated using steady and transient simulat
ions of transport and mixing in a microchannel. (C) 2001 Academic Press.