Papers Published

  1. Le Maitre, O. and Reagan, M. T. and Debusschere, B. and Najm, H. N. and Ghanem, R. G. and Knio, O. M., Natural convection in a closed cavity under stochastic non-Boussinesq conditions, SIAM JOURNAL ON SCIENTIFIC COMPUTING, vol. 26 no. 2 (2004), pp. 375--394 [doi] .
    (last updated on 2011/07/05)

    A stochastic projection method (SPM) is developed for quantitative propagation of uncertainty in compressible zero-Mach-number flows. The formulation is based on a spectral representation of uncertainty using the polynomial chaos (PC) system, and on a Galerkin approach to determining the PC coefficients. Governing equations for the stochastic modes are solved using a mass-conservative projection method. The formulation incorporates a specially tailored stochastic inverse procedure for exactly satisfying the mass-conservation divergence constraints. A brief validation of the zero-Mach-number solver is first performed, based on simulations of natural convection in a closed cavity. The SPM is then applied to analyze the steady-state behavior of the heat transfer and of the velocity and temperature fields under stochastic non-Boussinesq conditions.