Preferential Sampling of Elastic Chains in Turbulent Flows

Compressive sampling for energy spectrum estimation of turbulent flows

Recent results from compressive sampling (CS) have demonstrated that accurate reconstruction of sparse signals often requires far fewer samples than suggested by the classical Nyquist–Shannon sampling theorem. Typically, signal reconstruction errors are measured in the l norm and the signal is assumed to be sparse, compressible or having a prior distribution. Our spectrum estimation by sparse o...

Control of Turbulent Flows

It is useful for many industrial applications to be able to control turbulence in uid ows, either to reduce it or, in some cases, to increase it. Active or passive control procedures are of interest. The problems that we face here are considerable and encompass those related to the control of complex nonlinear systems and those related to the direct numerical simulation of turbulent ows. Our ai...

Elastic Fibers in Flows

Application of the Schwarz-Christoffel Transformation in Solving Two-Dimensional Turbulent Flows in Complex Geometries

In this paper, two-dimensional turbulent flows in different and complex geometries are simulated by using an accurate grid generation method. In order to analyze the fluid flow, numerical solution of the continuity and Navier-Stokes equations are solved using CFD techniques. Considering the complexity of the physical geometry, conformal mapping is used to generate an orthogonal grid by means of...

Turbulent Diffusion in Markovian Flows

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