| Project/Area Number |
17K14880
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Aerospace engineering
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| Research Institution | Japan Aerospace EXploration Agency |
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Principal Investigator |
Kanamori Masashi 国立研究開発法人宇宙航空研究開発機構, 航空技術部門, 主任研究開発員 (50770872)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2017: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 数式探査 / 微分方程式 / 遺伝的プログラミング / 流体力学 / 乱流 |
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| Outline of Final Research Achievements |
Reproduction or modeling of the buffet phenomena is one of the urgent issues to design safer aircraft at lower cost. It is, however, quite difficult because of the complex flowfield including separations of flow, which cannot be simulated appropriately with conventional turbulence models. One therefore has to use higher fidelity methods like DNS, LES or DES, which often suffer from severe computational cost. In this research, so-called equation inference technique is developed in order to distill the data from high fidelity methods into a new turbulence model for the flowfield involved with buffet phenomena. The result from the equation inference technique shows quantitatively good agreements in the lift coefficient of aircraft under low-speed buffet condition. This result also shows the possibility of the equation inference technique for customizing the turbulence model for any complex flowfield.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究は，剥離を伴う乱流現象という，従来の乱流モデルでの再現が困難な現象に特化して方程式探査アルゴリズムの有効性を検証してきた．しかし，本アルゴリズムはあらゆるデータに対して適用することが可能であり，従ってどの科学技術分野にでも応用することが可能である．昨今，データから有益な情報やモデルを抽出する，いわゆるデータ駆動科学が全盛期を迎えているが，本アルゴリズムはデータ駆動科学の一つとして，今後様々な対象に用いられることが期待される．
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