Investigating the multi-point correlation (MPC) equations for the velocity and pressure fluctuations two new kinds of fundamental symmetries have been discovered. One of these symmetries was first observed for parallel wall-bounded shear flows in Khujadze and Oberlack (2004) though there this property only holds true for the two-point equation. Presently using this extended set of Lie symmetry groups a much wider class of invariant solutions or turbulent scaling laws can be derived for plane wall-bounded shear flow and decaying turbulence only employing first principles. In fact, the two presented applications can only be conceived from MPC equations using the new symmetries
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...
A new turbulence theory based on Lie-group analysis is presented. This theory unifies a large set of...
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...
We briefly introduce the two-point correlation equations based on the Navier-Stokes equations for an...
Investigating the multi-point correlation (MPC) equations for the velocity and pressure fluctuations...
It was shown by Oberlack and Rosteck [Discr. Cont. Dyn. Sys. S, 3, 451 2010] that the infinite set o...
This work applies new insights into turbulent statistics gained by Lie symmetry analysis to the clos...
A new turbulence approach based on Lie-group analysis is presented. It unifies a large set of self-s...
When applying Lie-group symmetry analysis systematically to turbulent flows, any arbitrary invariant...
We briefly derive the infinite set of multi-point correlation equations based on the Navier-Stokes e...
An approach to derive turbulent scaling laws based on symmetry analysis is presented. It unifies a l...
The given thesis is based on the turbulence theory based on Lie group methods, which has been develo...
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...
A new turbulence theory based on Lie-group analysis is presented. This theory unifies a large set of...
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...
We briefly introduce the two-point correlation equations based on the Navier-Stokes equations for an...
Investigating the multi-point correlation (MPC) equations for the velocity and pressure fluctuations...
It was shown by Oberlack and Rosteck [Discr. Cont. Dyn. Sys. S, 3, 451 2010] that the infinite set o...
This work applies new insights into turbulent statistics gained by Lie symmetry analysis to the clos...
A new turbulence approach based on Lie-group analysis is presented. It unifies a large set of self-s...
When applying Lie-group symmetry analysis systematically to turbulent flows, any arbitrary invariant...
We briefly derive the infinite set of multi-point correlation equations based on the Navier-Stokes e...
An approach to derive turbulent scaling laws based on symmetry analysis is presented. It unifies a l...
The given thesis is based on the turbulence theory based on Lie group methods, which has been develo...
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...
A new turbulence theory based on Lie-group analysis is presented. This theory unifies a large set of...