Analysis of Transonic Buffet with Evolutionary Rule-based Learning
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- NAKATA Masaya
- 横浜国立大学大学院 工学研究院
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- CHIBA Kazuhisa
- 電気通信大学大学院 情報理工学研究科
Bibliographic Information
- Other Title
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- 進化的ルール学習を用いた遷音速バフェットの解析
Abstract
<p>The transonic buffet is a phenomenon of aerodynamic instability due to the oscillation of a shock wave; its generating mechanism has not been fully solved. This paper introduces an analysis of the transonic buffet with an Evolutionary Rule-based Learning (ERL) approach. ERL can extract generalized knowledge as a set of rules while solving a given machine learning problem. In the presented analysis, ERL is used to extract essential features likely provoking turbulent separated flow. Further, the impulse response analysis is applied to extracted features to investigate how those features affect the temporal propagations of pressures towards the shock-wave oscillation.</p>
Journal
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- Journal of the Visualization Society of Japan
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Journal of the Visualization Society of Japan 41 (162), 27-28, 2021
The Visualization Society of Japan
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Details 詳細情報について
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- CRID
- 1390856583391198080
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- ISSN
- 1884037X
- 09164731
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed