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Reduced-order modeling of the fluidic pinball

  • Luc R. Pastur*
  • , Nan Deng
  • , Marek Morzyński
  • , Bernd R. Noack
  • *Corresponding author for this work
  • Université Paris Saclay
  • CNRS
  • Poznań University of Technology
  • Harbin Institute of Technology Shenzhen
  • Technical University of Berlin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The fluidic pinball is a geometrically simple wake flow configuration with three rotating cylinders on the vertex of an equilateral triangle. Yet, it remains physically rich enough to host a range of interacting frequencies and to allow testing of control laws within minutes on a laptop. The system has multiple inputs (the three cylinders can independently rotate around their axis) and multiple outputs (downstream velocity sensors). Investigating the natural flow dynamics, we found that the first unsteady transition undergone by the wake flow, when increasing the Reynolds number, is a Hopf bifurcation leading to the usual time-periodic vortex shedding phenomenon, typical of cylinder wake flows, in which the mean flow field preserves axial symmetry. We extract dynamically consistent modes from the flow data in order to built a reduced-order model (ROM) of this flow regime. We show that the main dynamical features of the primary Hopf bifurcation can be described by a non-trivial lowest-order model made of three degrees of freedom.

Original languageEnglish
Title of host publication11th Chaotic Modeling and Simulation International Conference, 2018
EditorsChristos H. Skiadas, Ihor Lubashevsky
PublisherSpringer
Pages205-213
Number of pages9
ISBN (Print)9783030152963
DOIs
StatePublished - 2019
Externally publishedYes
Event11th International Conference on Chaotic Modeling, Simulation and Applications, CHAOS 2018 - Rome, Italy
Duration: 5 Jun 20188 Jun 2018

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Conference

Conference11th International Conference on Chaotic Modeling, Simulation and Applications, CHAOS 2018
Country/TerritoryItaly
CityRome
Period5/06/188/06/18

Keywords

  • Flow control
  • Fluid mechanics
  • Reduced-order modeling
  • Transition to chaos

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