Memorias de investigación
Communications at congresses:
A comparative POD/DMD analysis of canonical and actuated turbulent channel flows
Year:2018

Research Areas
  • Engineering,
  • Mechanical aeronautics and naval engineering

Information
Abstract
Turbulent flow fields contain a wide range of spatio-temporal scales. Direct Numerical Simulation techniques provide an accurate description of turbulent flow fields. This accuracy comes at the expense of high computational cost and memory footprint. In this context, feature detection algorithms are useful tools that help to identify relevant flow structures, their interactions and ulterior evolution. In this contribution, we employ feature detection algorithms to analyze canonical and controlled turbulent channel flows. Specifically, we will apply both Proper Orthogonal Decomposition and Dynamic Mode Decomposition to DNS-generated turbulent channel flow data-bases. The ultimate goal is to reveal whether flow features linked to drag reduction exist and, if that is the case, learn how those structures could be enhanced, thus leading to more efficient drag reduction strategies.
International
Si
Congress
7th European Conference on Computational Fluid Dynamics (ECFD 7)
960
Place
Glasgow
Reviewers
No
ISBN/ISSN
978-84-947311-6-7
Start Date
11/06/2018
End Date
15/06/2018
From page
775
To page
784
Proceedings of the 6th. European Conference on Computational Mechanics (Solids, Structures and Coupled Problems). ECCM 6, 7th. European Conference on Computational Fluid Dynamics ECFD 7
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Métodos y Aplicaciones Numéricas a la Tecnología Aeroespacial
  • Centro o Instituto I+D+i: Centro de Investigación en Simulación Computacional
  • Departamento: Matemática Aplicada a la Ingeniería Aeroespacial