A stochastic particle-mesh scheme for uncertainty propagation in vortical flows
- Laboratoire de Mecanique et d'Energetique d'Evry and LIMSI-CNRS, Universite d'Evry Val d'Essonne, 40, rue du Pelvoux, CE 1455, 91020 Evry Cedex (France), E-mail: olm@iup.univ-evry.fr
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218-2686 (United States), E-mail: knio@jhu.edu
A new mesh-particle scheme is constructed for uncertainty propagation in vortical flow. The scheme is based on the incorporation of polynomial chaos (PC) expansions into a Lagrangian particle approximation of the Navier-Stokes equations. The main idea of the method is to use a unique set of particles to transport the stochastic modes of the solution. The particles are transported by the mean velocity field, while their stochastic strengths are updated to account for diffusive and convective effects induced by the coupling between stochastic modes. An integral treatment is used for the evaluation of the coupled stochastic terms, following the framework of the particle strength exchange (PSE) methods, which yields a conservative algorithm. It is also shown that it is possible to apply solution algorithms used in deterministic setting, including particle-mesh techniques and particle remeshing. Thus, the method combines the advantages of particles discretizations with the efficiency of PC representations. Validation of the method on uncertain diffusion and convection problems is first performed. An example is then presented of natural convection of a hot patch of fluid in infinite domain, and the computations are used to illustrate the effectiveness of the approach for both large number of particles and high-order PC expansions.
- OSTI ID:
- 21028264
- Journal Information:
- Journal of Computational Physics, Vol. 226, Issue 1; Other Information: DOI: 10.1016/j.jcp.2007.04.030; PII: S0021-9991(07)00200-8; Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved; Country of input: International Atomic Energy Agency (IAEA); ISSN 0021-9991
- Country of Publication:
- United States
- Language:
- English
Similar Records
A well-posed and stable stochastic Galerkin formulation of the incompressible Navier–Stokes equations with random data
A fourth-order adaptive mesh refinement algorithm for the multicomponent, reacting compressible Navier–Stokes equations