Towards a parameter-free method for high Reynolds number turbulent flow simulation based on adaptive finite element approximation

Hoffman, JohanKTH,High Performance Computing and Visualization (HPCViz),Basque Ctr Appl Math, Spain,Computational Technology Laboratory (author)

QC 20140708
We present work towards a parameter-free method for turbulent flow simulation based on adaptive finite element approximation of the Navier-Stokes equations at high Reynolds numbers. In this model, viscous dissipation is assumed to be dominated by turbulent dissipation proportional to the residual of the equations, and skin friction at solid walls is assumed to be negligible compared to inertial effects. The result is a computational model without empirical data, where the only parameter is the local size of the finite element mesh. Under adaptive refinement of the mesh based on a posteriori error estimation, output quantities of interest in the form of functionals of the finite element solution converge to become independent of the mesh resolution, and thus the resulting method has no adjustable parameters. No ad hoc design of the mesh is needed, instead the mesh is optimised based on solution features, in particular no bounder layer mesh is needed. We connect the computational method to the mathematical concept of a dissipative weak solution of the Euler equations, as a model of high Reynolds number turbulent flow, and we highlight a number of benchmark problems for which the method is validated.

Jansson, JohanKTH,High Performance Computing and Visualization (HPCViz),Basque Ctr Appl Math, Spain(Swepub:kth)u1mb1o3o (author)
Jansson, NiclasRIKEN Advanced Institute for Computational Science, Kobe, Japan(Swepub:kth)u1fr0htl (author)
De Abreu, Rodrigo VilelaKTH,High Performance Computing and Visualization (HPCViz)(Swepub:kth)u1qexakl (author)
KTHHigh Performance Computing and Visualization (HPCViz) (creator_code:org_t)

In:Computer Methods in Applied Mechanics and Engineering: Elsevier288, s. 60-740045-78251879-2138

By the author/editor: Hoffman, Johan; Jansson, Johan; Jansson, Niclas; De Abreu, Rodrig ...

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NATURAL SCIENCES: NATURAL SCIENCES; and Mathematics; and Computational Ma ...

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