2020 Fiscal Year Annual Research Report
Computational research of biomimetic flight in unsteady environments with the aid of machine learning
| Project/Area Number |
18K13693
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
Kolomensk Dmitry 東京工業大学, 学術国際情報センター, 特任准教授 (00813924)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Keywords | insect flight / bio-inspired flight / HPC |
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| Outline of Annual Research Achievements |
A computational fluid dynamics data-driven aerodynamic model of flapping flight, developed in collaboration with Prof. Hao Liu’s laboratory, Chiba University, has been evaluated for flight dynamics tasks such as controller design and trimmed state search. It was found that numerical optimization using the covariance matrix adaptation evolution strategy (CMA-ES) is a viable approach for adapting the wing kinematics to the required flight condition (Cai et al. 2021, J. Fluid Mech. 915:A114). A similar data-driven approach using CMA-ES has been employed in the context of computational fluid-structure interaction for flexible wings, in collaboration with Aix-Marseille University (France) and University of Rostock (Germany). A mass-spring model of flexible wings has been fitted with the bending stiffness distribution from static bending experiments (Truong et al. 2021, under review). Direct import of geometrical models based on micro-CT scans into an adaptive computational fluid dynamics solver has been implemented for steady and unsteady conditions, in collaboration with Dr. Thomas Engels (University of Rostock, Germany), and used in a study of the flight of one of the smallest insects, a featherwing beetle Paratuposa placentis, in collaboration with the micro-insect laboratory at Lomonosov Moscow State University (Russia).
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