JAXA Supercomputer System Annual Report February 2023-January 2024 Report Number: R23EDA201N15 Subject Category: Aeronautical Technology PDF Responsible Representative: Kazuyuki Nakakita, Aeronautical Technology Direcrate, LC hub. Contact Information: Yoimi Kojima(kojima.yoimi@jaxa.jp) Members: Atsushi Hashimoto, Kenji Hayashi, Seigo Koga, Kazuyuki Nakakita, Yoimi Kojima Abstract In aircraft certification, fight-test risk-reduction and cost-reduction are issues. CbA (Certification by Analysis), which replaces flight tests with analysis, is being studied globally in order to promote safe and efficient certification. Therefore, we are constructing a CFD-based flight simulator・・・<<read more>>
JAXA Supercomputer System Annual Report February 2023-January 2024 Report Number: R23EDA201N14 Subject Category: Aeronautical Technology PDF Responsible Representative: Takashi Aoyama, Aviation program director, Aviation Technology Directorate Contact Information: ide yuki(ide.yuki@jaxa.jp) Members: Yuki Ide, Kei Shimura Abstract research and development of icing simulation tools for CbA Reference URL N/A Reasons and benefits of using JAXA Supercomputer System Due to broadband time and spatial scales of ice accretation, huge computational resources and acceleration of computation by JSS are needed. Achievements of the・・・<<read more>>
JAXA Supercomputer System Annual Report February 2023-January 2024 Report Number: R23EDA201N05 Subject Category: Aeronautical Technology PDF Responsible Representative: Yasuhiro Mizobuchi, Aircraft Lifecycle Innovation Hub, Aviation Technology Directorate Contact Information: Makoto Ueno, Aircraft Lifecycle Innovation Hub, Aviation Technology Directorate(ueno.makoto@jaxa.jp) Members: Makoto Ueno, Kento Yamada, Chigusa Hamada, Takahiro Yamamoto Abstract The air flow rate in the engine nacelle is adjusted using annular plugs placed in the nacelle to evaluate the effect of the air flow rate in the engine nacelle on the・・・<<read more>>
JAXA Supercomputer System Annual Report February 2023-January 2024 Report Number: R23EDA201N04 Subject Category: Aeronautical Technology PDF Responsible Representative: Kazuyuki Nakakita, Aviation Technology Directorate, Aircraft Lifecycle Innovation Hub Contact Information: Yuya Ohmichi(ohmichi.yuya@jaxa.jp) Members: Ken Fujino, Keita Nakamoto, Yuya Ohmichi, 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 tools which・・・<<read more>>
