We briefly derive the infinite set of multi-point correlation equations based on the Navier-Stokes equations for an incompressible fluid. From this we reconsider the previously derived set of Lie symmetries, i.e. those directly induced by the ones from classical mechanics and also new symmetries. The latter are denoted statistical symmetries and have no direct counterpart in classical mechanics. Finally, we considerably extend the set of symmetries by Lie algebra methods and give the corresponding commutator tables. Due to the infinite dimensionality of the multi-point correlation equations completeness of its symmetries is not proven yet and is still an open question
In the present work, the problem of RANS (Reynolds-Averaged Navier–Stokes) turbulence modeling is in...
We deal with homogeneous isotropic turbulence and use the two-point velocity correlation tensor fiel...
We introduce the notion of a random symmetry. It consists of taking the action given by a determinis...
We briefly derive the infinite set of multi-point correlation equations based on the Navier-Stokes e...
We briefly introduce the two-point correlation equations based on the Navier-Stokes equations for an...
We presently show that the infinite set of multi-point correlation equations, which are direct stati...
In the present work, scaling laws for special turbulent flow phenomena are investigated using a math...
We presently show that the infinite set of multi-point correlation equations, which are direct stati...
This work applies new insights into turbulent statistics gained by Lie symmetry analysis to the clos...
Investigating the multi-point correlation (MPC) equations for the velocity and pressure fluctuations...
When applying Lie-group symmetry analysis systematically to turbulent flows, any arbitrary invariant...
It was shown by Oberlack and Rosteck [Discr. Cont. Dyn. Sys. S, 3, 451 2010] that the infinite set o...
Approximate Lie symmetries of the Navier-Stokes equations are used for the applications to scaling p...
A detailed theoretical investigation is given which demonstrates that a recently proposed set of sta...
We deal with homogeneous isotropic turbulence and use the two-point velocity correlation tensor fiel...
In the present work, the problem of RANS (Reynolds-Averaged Navier–Stokes) turbulence modeling is in...
We deal with homogeneous isotropic turbulence and use the two-point velocity correlation tensor fiel...
We introduce the notion of a random symmetry. It consists of taking the action given by a determinis...
We briefly derive the infinite set of multi-point correlation equations based on the Navier-Stokes e...
We briefly introduce the two-point correlation equations based on the Navier-Stokes equations for an...
We presently show that the infinite set of multi-point correlation equations, which are direct stati...
In the present work, scaling laws for special turbulent flow phenomena are investigated using a math...
We presently show that the infinite set of multi-point correlation equations, which are direct stati...
This work applies new insights into turbulent statistics gained by Lie symmetry analysis to the clos...
Investigating the multi-point correlation (MPC) equations for the velocity and pressure fluctuations...
When applying Lie-group symmetry analysis systematically to turbulent flows, any arbitrary invariant...
It was shown by Oberlack and Rosteck [Discr. Cont. Dyn. Sys. S, 3, 451 2010] that the infinite set o...
Approximate Lie symmetries of the Navier-Stokes equations are used for the applications to scaling p...
A detailed theoretical investigation is given which demonstrates that a recently proposed set of sta...
We deal with homogeneous isotropic turbulence and use the two-point velocity correlation tensor fiel...
In the present work, the problem of RANS (Reynolds-Averaged Navier–Stokes) turbulence modeling is in...
We deal with homogeneous isotropic turbulence and use the two-point velocity correlation tensor fiel...
We introduce the notion of a random symmetry. It consists of taking the action given by a determinis...