Progress in Computational Physics (PiCP) Vol: 2 Coupled Fluid Flow in Energy, Biology and Environmental Research 2012
DOI: 10.2174/978160805254711201010042
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Spectral Discretization of the Stokes Problem with Mixed Boundary Conditions

Abstract: The variational formulation of the Stokes problem with three independent unknowns, the vorticity, the velocity and the pressure, was born to handle non standard boundary conditions which involve the normal component of the velocity and the tangential components of the vorticity. We propose an extension of this formulation to the case of mixed boundary conditions in a three-dimensional domain. Next we consider a spectral discretization of this problem. A detailed numerical analysis leads to error estimates for … Show more

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Cited by 6 publications
(10 citation statements)
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“…Convergence analysis and numerical simulations have been presented. A spectral discretization for vorticity based first order formulation of Stokes equations with (B4) has been discussed in [6].…”
Section: Computational Developments On Stokes Equations With Non-stan...mentioning
confidence: 99%
“…Convergence analysis and numerical simulations have been presented. A spectral discretization for vorticity based first order formulation of Stokes equations with (B4) has been discussed in [6].…”
Section: Computational Developments On Stokes Equations With Non-stan...mentioning
confidence: 99%
“…We also assume that normalΓm=normalΓ is a Lipschitz‐continuous submanifold of ∂ Ω. The basic idea in previous studies 1,2,5 consists of introducing the vorticity bold-italicω=boldcurl0.3embold-italicu as a new unknown. Problem () can equivalently be written as (we suppress the variables bold-italicx and t for brevity), {left leftarraytu+νcurlω+p=farrayin]0,T[×Ω,arraydivu=0arrayin[0,T]×Ω,arrayω=curluarrayin[0,T]×Ω,arrayu·n=0arrayon[0,T]×Ω,arrayu×n=0arrayon[0,T]×Γ,arrayω×n=0arrayon[0,T]×Γm,arrayu=u0arrayin{0}×Ω. …”
Section: The Velocity Vorticity and Pressure Formulationmentioning
confidence: 99%
“…We now intend to prove the well‐posedness of problems () and (), and we first introduce the kernel VN={vN𝕏N;qN𝕄N,bN(qN,vN)=0}. The proof of the next lemma is given in Amoura et al 5, Lem. 3.2 …”
Section: First Order Discretizationmentioning
confidence: 99%
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