本文へ移動

サイトナビゲーションへ移動

検索ボックスへ移動

サイドバーへ移動

ここは、本文エリアの先頭です。

Prediction and Modelling of Turbulence based on Machine Learning

[Added on] [Last modified on]

JAXA Supercomputer System Annual Report February 2021-January 2022 Report Number: R21EACA39 Subject Category: JSS Inter-University Research PDF Responsible Representative: Masanobu Inubushi, Associate Professor, Tokyo University of Science Contact Information: Masanobu Inubushi(inubushi@rs.tus.ac.jp) Members: Susumu Goto, Masanobu Inubushi, Kensuke Nakatani Abstract Turbulence models play essential roles in aerospace science and technology, such as flows around aircraft and of planetary atmospheres. They are rapidly empowered by machine learning methods (Duraisamy, Iaccarino, and Xiao, 2019) and will be a crucial building block of aerospace・・・<<read more>>

Numerical analysis for LE-9 engine turbopumps

[Added on] [Last modified on]

JAXA Supercomputer System Annual Report February 2021-January 2022 Report Number: R21EK2305 Subject Category: Space Technology PDF Responsible Representative: Masashi Okada, Project manager, H3 Project Team Contact Information: Atsuhiro Tsunoda(tsunoda.atsuhiro@jaxa.jp) Members: Mizuho Aotsuka, Takashi Goto, Ittetsu Inuzuka, Hideyo Negishi, Wataru Sato, Atsuhiro Tsunoda, Satoshi Ukai Abstract Design evaluation using numerical simulation is carried out for technical issues of the LE-9 engine turbo pump. Please refer to the following URL: http://global.jaxa.jp/projects/rockets/h3/ Reference URL N/A Reasons and benefits of using JAXA Supercomputer System・・・<<read more>>

Numerical Simulations for H3 Rocket Development

[Added on] [Last modified on]

JAXA Supercomputer System Annual Report February 2021-January 2022 Report Number: R21EK2302 Subject Category: Space Technology PDF Responsible Representative: Masashi Okada, Space Transporation Technology Directorate, H3 Project Team Contact Information: Hideyo Negishi(negishi.hideyo@jaxa.jp) Members: Junya Aono, Masaharu Abe, Hiroaki Amakawa, Yu Daimon, Taroh Fukuda, Hironori Fujiwara, Osamu Fukasawa, Yuma Fukushima, Takanori Haga, Hiroyuki Ito, Masashi Kanamori, Hideyo Negishi, Takenori Nakajima, Shinji Ohno, Taro Shimizu, Seiji Tsutsumi, Kuniyuki Takekawa, Masashi Toyama, Satoshi Ukai, Rika Yamada Abstract Please refer to the following URL: http://global.jaxa.jp/projects/rockets/h3/・・・<<read more>>

Noise suppression technology for aircraft jet engines

[Added on] [Last modified on]

JAXA Supercomputer System Annual Report February 2021-January 2022 Report Number: R21EA0716 Subject Category: Aeronautical Technology PDF Responsible Representative: Tatsuya Ishii, Aeronautical Technology Directorate, Aviation Environmental Sustainability Innovation Hub Contact Information: Shunji ENOMOTO(enomoto.shunji@jaxa.jp) Members: Shunji Enomoto, Hideshi Oinuma, Kenichiro Nagai, Junichi Oki, Tatsuya Ishii Abstract Ultra high bypass ratio aviation jet engines have a smaller sound absorbing liner area than conventional engines. In this project, we will develop sound-absorbing device technology that provides high noise reduction performance even with a small-sized・・・<<read more>>

Multivariate time series data analysis

[Added on] [Last modified on]

JAXA Supercomputer System Annual Report February 2021-January 2022 Report Number: R21EDA201N04 Subject Category: Aeronautical Technology PDF Responsible Representative: Takashi Aoyama, Aeronautical Technology Directorate, Numerical Simulation Research Unit Contact Information: OHMICHI, Yuya(ohmichi.yuya@jaxa.jp) Members: Mami Hayakawa, Keita Nakamoto, Yuya Ohmichi, Kohmi Takahashi, Kento Yamada Abstract Knowledge extraction techniques for large datasets are important because the computers and numerical simulation techniques have been highly developed and they are producing a huge amount of data. In this study, we have been developing knowledge extraction・・・<<read more>>