2015
DOI: 10.1016/j.cma.2014.12.004
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Towards a parameter-free method for high Reynolds number turbulent flow simulation based on adaptive finite element approximation

Abstract: Highlights• We present a parameter-free method for high Reynolds number turbulent flow.• The method is based on adaptive mesh optimization using adjoint techniques.• We connect the numerical approximation to dissipative weak solutions.• Turbulent boundary layers are left unresolved, no boundary layer mesh is needed.• We highlight benchmark problems for which the method is validated. AbstractThis article is a review of our work towards a parameter-free method for simulation of turbulent flow at high Reynolds nu… Show more

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Cited by 23 publications
(18 citation statements)
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“…The stabilization of the fluid flow equations in the UC-FSI model ( 27) can be interpreted as a residual based turbulence model, 52 which does not rely on any flow dependent parameters and, therefore, does not need to be reparameterized for different flow regimes. This methodology is well tested in various fields of science, 53 including for the simulation of ventricular blood flow and heart valves. [61][62][63]…”
Section: Stabilizationmentioning
confidence: 99%
“…The stabilization of the fluid flow equations in the UC-FSI model ( 27) can be interpreted as a residual based turbulence model, 52 which does not rely on any flow dependent parameters and, therefore, does not need to be reparameterized for different flow regimes. This methodology is well tested in various fields of science, 53 including for the simulation of ventricular blood flow and heart valves. [61][62][63]…”
Section: Stabilizationmentioning
confidence: 99%
“…However, the speed of data communication between hard disk and solver is much slower than the access to main memory. Others choose to store flow solution snapshots at a prescribed frequency and interpolate intermediate values in time [9,10], which has also been employed in high-Re number problems [11]. Another solution is to apply the checkpointing technique [12] in which optimalselected primal states are stored and then used to re-solve the primal problem locally.…”
Section: Introductionmentioning
confidence: 99%
“…The high accuracy requirement for the prediction of integral coecients in aerodynamic simulations often implies the necessity to correctly resolve local ow features such as ow separation, or boundary layers, where the uid velocity exhibits strong gradients in the wall-normal direction, and skin-friction usually plays a dening role [2,3]. It is generally acknowledged that extremely rened meshes are widely required in order to capture global as well as local ow features past simplied and complex geometries, Email address: aurelien.larcher@mines-paristech.fr (A. Larcher) which can often be time and budget consuming.…”
Section: Introductionmentioning
confidence: 99%