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Numerical simulations for two‐dimensional incompressible Navier‐Stokes equations with stochastic boundary conditions
Author(s) -
Lu Junxiang,
Ma Yichen,
Kong Fande
Publication year - 2010
Publication title -
numerical methods for partial differential equations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.901
H-Index - 61
eISSN - 1098-2426
pISSN - 0749-159X
DOI - 10.1002/num.20456
Subject(s) - mathematics , hermite polynomials , navier–stokes equations , polynomial chaos , galerkin method , monte carlo method , mathematical analysis , polynomial , basis (linear algebra) , compressibility , finite element method , geometry , statistics , physics , engineering , thermodynamics , aerospace engineering
The article mainly concerns modeling the stochastic input and its propagation in incompressible Navier‐Stokes(N‐S) flow simulations. The stochastic input is represented spectrally by employing orthogonal polynomial functionals from the Askey scheme as trial basis to represent the random space. A standard Galerkin projection is applied in the random dimension to derive the equations in the weak form. The resulting set of deterministic equations is then solved with standard methods to obtain the mean solution and variance of the stochastic velocity. In this article, the main method employs the Hermite polynomial as the basis in random space. Cavity problems are given to demonstrate the process of numerical simulation. Furthermore, Monte‐Carlo simulation method is applied to illustrate the accurate numerical results. © 2009 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq, 2010