1,070 research outputs found
Continuity properties of the inf-sup constant for the divergence
The inf-sup constant for the divergence, or LBB constant, is explicitly known
for only few domains. For other domains, upper and lower estimates are known.
If more precise values are required, one can try to compute a numerical
approximation. This involves, in general, approximation of the domain and then
the computation of a discrete LBB constant that can be obtained from the
numerical solution of an eigenvalue problem for the Stokes system. This
eigenvalue problem does not fall into a class for which standard results about
numerical approximations can be applied. Indeed, many reasonable finite element
methods do not yield a convergent approximation. In this article, we show that
under fairly weak conditions on the approximation of the domain, the LBB
constant is an upper semi-continuous shape functional, and we give more
restrictive sufficient conditions for its continuity with respect to the
domain. For numerical approximations based on variational formulations of the
Stokes eigenvalue problem, we also show upper semi-continuity under weak
approximation properties, and we give stronger conditions that are sufficient
for convergence of the discrete LBB constant towards the continuous LBB
constant. Numerical examples show that our conditions are, while not quite
optimal, not very far from necessary
A high-order semi-explicit discontinuous Galerkin solver for 3D incompressible flow with application to DNS and LES of turbulent channel flow
We present an efficient discontinuous Galerkin scheme for simulation of the
incompressible Navier-Stokes equations including laminar and turbulent flow. We
consider a semi-explicit high-order velocity-correction method for time
integration as well as nodal equal-order discretizations for velocity and
pressure. The non-linear convective term is treated explicitly while a linear
system is solved for the pressure Poisson equation and the viscous term. The
key feature of our solver is a consistent penalty term reducing the local
divergence error in order to overcome recently reported instabilities in
spatially under-resolved high-Reynolds-number flows as well as small time
steps. This penalty method is similar to the grad-div stabilization widely used
in continuous finite elements. We further review and compare our method to
several other techniques recently proposed in literature to stabilize the
method for such flow configurations. The solver is specifically designed for
large-scale computations through matrix-free linear solvers including efficient
preconditioning strategies and tensor-product elements, which have allowed us
to scale this code up to 34.4 billion degrees of freedom and 147,456 CPU cores.
We validate our code and demonstrate optimal convergence rates with laminar
flows present in a vortex problem and flow past a cylinder and show
applicability of our solver to direct numerical simulation as well as implicit
large-eddy simulation of turbulent channel flow at as well as
.Comment: 28 pages, in preparation for submission to Journal of Computational
Physic
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