Dynamical optimization of the trailing-edge shape of a bluff body by means of Extremum-seeking

Kazutaka Nakayama, Hiroshi Naito, Koji Fukagata

Research output: Contribution to conference › Paper › peer-review

Abstract

In this study, we minimize the drag coefficient caused by a bluff body by optimizing the shape variables of the bluff body by means of Extremum-seeking. We consider two cases: Single Input Single Output (SISO) system with only one shape variable and Dual Input Single Output (DISO) system with two shape variables. For SISO Extremum-seeking, we compare with the result of SISO Genetic Algorithm (GA). As a result, we successfully optimized the bluff body shape and reduced the drag. The computational cost of SISO Extremum-seeking and DISO Extremum-seeking is found to be less than 96% and 92% of SISO GA respectively.

Original languageEnglish
DOIs
Publication statusPublished - 2013
Event21st AIAA Computational Fluid Dynamics Conference - San Diego, CA, United States
Duration: 2013 Jun 24 → 2013 Jun 27

Other

Other21st AIAA Computational Fluid Dynamics Conference
CountryUnited States
CitySan Diego, CA
Period13/6/24 → 13/6/27

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Energy Engineering and Power Technology
  • Aerospace Engineering
  • Mechanical Engineering

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