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

Kazutaka Nakayama, Hiroshi Naito, Koji Fukagata

研究成果: Paper

抜粋

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.

元の言語English
出版物ステータスPublished - 2013 9 13
イベント21st AIAA Computational Fluid Dynamics Conference - San Diego, CA, United States
継続期間: 2013 6 242013 6 27

Other

Other21st AIAA Computational Fluid Dynamics Conference
United States
San Diego, CA
期間13/6/2413/6/27

    フィンガープリント

ASJC Scopus subject areas

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

これを引用

Nakayama, K., Naito, H., & Fukagata, K. (2013). Dynamical optimization of the trailing-edge shape of a bluff body by means of Extremum-seeking. 論文発表場所 21st AIAA Computational Fluid Dynamics Conference, San Diego, CA, United States.