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Numerical Study on Effects of Propeller to Fixed Wing at Low Reynolds Number

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JAXA Supercomputer System Annual Report April 2020-March 2021 Report Number: R20EACA43 Subject Category: JSS Inter-University Research PDF Responsible Representative: Keiichi Kitamura, Associate professor, Yokohama National University Contact Information: Yoshikatsu Furusawa(furusawa-yoshikatsu-vz@ynu.jp) Members: Keiichi Kitamura, Yoshikatsu Furusawa Abstract As a new form of a Mars exploration vehicle, research and development of a Mars airplane are progressing. Since the Martian atmosphere is low density and the Mars airplane flies in the low Reynolds number region, the flow field around the Mars airplane differs・・・<<read more>>

Data staging technique for improving post-processing performance in large-scale CFD analysis

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JAXA Supercomputer System Annual Report April 2020-March 2021 Report Number: R20EACA42 Subject Category: JSS Inter-University Research PDF Responsible Representative: Keichi Takahashi, Assistant Professor, Nara Institute of Science and Technology Contact Information: Keichi Takahashi(keichi@is.naist.jp) Members: Keichi Takahashi Abstract Conventional post-processing of CFD simulations was achieved by saving the entire simulation output on a parallel file system and then processing the output. However, this approach is becoming increasingly challenging due to the limitations in storage size and IO bandwidth. Therefore, data staging,・・・<<read more>>

Numerical Study on Rotor Performance of Mars Helicopter

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JAXA Supercomputer System Annual Report April 2020-March 2021 Report Number: R20EACA41 Subject Category: JSS Inter-University Research PDF Responsible Representative: Makoto Sato, Associate Professor, Kogakuin University Contact Information: Makoto Sato, Kogakuin University(msato@cc.kogakuin.ac.jp) Members: Makoto Sato, Daichi Ogasawara Abstract Mars helicopter project is now going. Since the atomospheric density on Mars is about 1/100, the sound of speed is about 3/4 compared with those on Earth, we need to develop the high perfmance heli-rotar. In JAXA, the experimental measurements of the heli-rotar・・・<<read more>>

Machine-learning based prediction of fluid dynamics

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JAXA Supercomputer System Annual Report April 2020-March 2021 Report Number: R20EACA39 Subject Category: JSS Inter-University Research PDF Responsible Representative: Masanobu Inubushi, Assistant Professor, Graduate School of Engineering Science, Osaka University Contact Information: Masanobu Inubushi(inubushi@me.es.osaka-u.ac.jp) Members: Masanobu Inubushi, Susumu Goto, Mikito Konishi, Daiki Watanabe, Kensuke Nakatani Abstract Turbulence models play important roles in the aerospace science and technology, such as flows around aircrafts and of planetary atmospheres. Recently, they are developing rapidly empowered by machine learning methods (Duraisamy, Iaccarino, and Xiao,・・・<<read more>>

Study of very high-order unstructured mesh methods for LES of high Reynolds number flows around complicated geometries

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JAXA Supercomputer System Annual Report April 2020-March 2021 Report Number: R20EACA38 Subject Category: JSS Inter-University Research PDF Responsible Representative: Hiroyuki Asada, Depatment of Aerospace Engineering, Tohoku University Contact Information: Hiroyuki Asada(h.asada@tohoku.ac.jp) Members: Hiroyuki Asada Abstract The main objective of this study is to develop a solver based on the discontinuous Galerkin (DG) method to realize high fidelity large eddy simulation (LES) of high Reynolds number flows around complicated geometries Reference URL N/A Reasons and benefits of using JAXA Supercomputer System・・・<<read more>>