Cutting-Edge Turbulence Simulation Methods for Wind Energy and Aerospace Problems

Discontinuous Galerkin methods for turbulence simulation

A discontinuous Galerkin (DG) method is formulated, implemented, and tested for simulation of compressible turbulent flows. The method is applied to turbulent channel flow at low Reynolds number, where it is found to successfully predict low-order statistics with fewer degrees of freedom than traditional numerical methods. This reduction is achieved by utilizing local hp-refinement such that th...

On Zagreb Energy and edge-Zagreb energy

In this paper, we obtain some upper and lower bounds for the general extended energy of a graph. As an application, we obtain few bounds for the (edge) Zagreb energy of a graph. Also, we deduce a relation between Zagreb energy and edge-Zagreb energy of a graph $G$ with minimum degree $delta ge2$. A lower and upper bound for the spectral radius of the edge-Zagreb matrix is obtained. Finally, we ...

Cutting-edge methods for EEG research on cognition.

Electroencephalography (EEG) is at the same time the oldest rain imaging technique and one of the methodologically most apidly expanding tools in cognitive neurosciences. Its exquisite emporal resolution, its ever-growing spatial precision, its ease of se, and its relatively modest price make it a method of choice for ognitive neuroscience labs. In recent years, the explosion of comuting power ...

Wind Energy Applications of Unified and Dynamic Turbulence Models

This study investigates linear and nonlinear dynamic LES and unified RANS-LES models obtained by stochastic analysis regarding the simulation of the atmospheric boundary layer. The advantages of dynamic LES methods are their accuracy, the ability to account for anisotropy and backscatter, and their computational stability. The advantage of unified RANS-LES models is their ability to provide res...

Residual energy in MHD turbulence and in the solar wind