Reproducibility of Experiments With Swirling Flow: Numerical Prediction With Polynomial Chaos

Controlling Chaos with Artificial Neural Network: Numerical Studies and Experiments

Chaotic systems are highly susceptible to control by using small perturbations to a system constraint. Feedback methods have been applied to taming chaos in magnetoelastic and hydrodynamic systems, electric circuits, lasers, chemical reactions, and tissues of heart and brain in vitro.1 The well-known Ott-Grebogi-Yorke (OGY) algorithm2 and its variations are based on the notion that for controll...

Direct numerical simulation of Open Von Kármán Swirling Flow

Direct numerical simulations are used to investigate the Open Von Kármán Swirling Flow, a new type of unsteady three-dimensional flow that is formed between two counter-rotating coaxial disks with an axial extraction enclosed by a cylinder chamber. Solution verification shows that monotonic convergence is achieved on three systematically refined grids for average pressure at the disk periphery ...

comparison of blood flow velocity changes in posterior cerebral artery measured with transcranial doppler sonography in migraineurs with visual aura and normal persons after photostimulation

چکیده ندارد.

Numerical Simulation of a Confined Swirling Flow in a Model Gas Turbine Combustor

construction of vector fields with positive lyapunov exponents

in this thesis our aim is to construct vector field in r3 for which the corresponding one-dimensional maps have certain discontinuities. two kinds of vector fields are considered, the first the lorenz vector field, and the second originally introced here. the latter have chaotic behavior and motivate a class of one-parameter families of maps which have positive lyapunov exponents for an open in...