Analysis of Flow Over a Circular Cylinder by CFD and Reduced Order Modeling

Abstract

The main idea of flow control is the improvement of aerodynamic characteristics of flow, such as, reducing drag and unsteadiness of loads compelled by the flow field onto structures exposed to the flow. The ultimate aim of this research is to build a flow control system with the help of artificial neural networks (ANN) in order to be able to control the vortex shedding behind a two dimensional (2D) cylinder. In this study, flow over a 2D circular cylinder at laminar Reynolds numbers is analyzed by Computational Fluid Dynamics (CFD), where obtained results are compared with the experimental values stated in literature, and flow structures are separated according to their frequency content by application of the Proper Orthogonal Decomposition (POD) method to the resulting data.

Modeling the Wake Behind Bluff Bodies for Flow Control at Laminar and Turbulent Reynolds Numbers Using Artificial Neural Networks

“…By changing air blowing velocity from the slots located on the surface of the cylinder, it is possible that one can bear order of the vortex lagging to desired levels efficiently. More information on mode amplitudes and the results for laminar flow test cases may be found in Apacoglu et al (2011a) and Paksoy et al (2010).…”