JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22EDG20200 Subject Category: Research and Development PDF Responsible Representative: Rei Mitsuhashi, Reserch and Development Directorate, MOLI Pre-Project Team Contact Information: Rei Mitsuhashi(mitsuhashi.rei@jaxa.jp) Members: Rei Mitsuhashi, Yoshito Sawada Abstract Develop algorithms for processing space lidar observation data in the ISS Onboard Lidar Demonstration (MOLI) project. Reference URL N/A Reasons and benefits of using JAXA Supercomputer System MOLI observes the entire globe with lidar, and its data can reach several billion shots・・・<<read more>>
JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22EDA201N14 Subject Category: Aeronautical Technology PDF Responsible Representative: Yasuhiro Mizobuchi, Aircraft Lifecycle Innovation Hub, Aviation Technology Directorate Contact Information: Yuki Ide(ide.yuki@jaxa.jp) Members: Yuki Ide, Kei Shimura Abstract research on anlysis methods for ice accretion Reference URL N/A Reasons and benefits of using JAXA Supercomputer System In general, ice accretes through multi-physical process and its spatio-temporal scales are broad. Thus a use of JSS is nsessary. Achievements of the Year a・・・<<read more>>
JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22EDA201N15 Subject Category: Aeronautical Technology PDF Responsible Representative: Kazuyuki Nakakita, Aviation Technology Directorate, Aircraft Lifecycle Innovation 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・・・<<read more>>
JAXA Supercomputer System Annual Report February 2022-January 2023 Report Number: R22EDA201P11 Subject Category: Aeronautical Technology PDF Responsible Representative: Atsushi Kanda, Aviation Technology Directorate, Aviation Safety Innovation Hub Contact Information: Junichi Kazawa, Aviation Technology Directorate, Aviation Safety Innovation Hub(kazawa.junichi@jaxa.jp) Members: Kazuhisa Amemiya, Shunji Enomoto, Junichi Kazawa Abstract In order to improve the accuracy of predicting the aerodynamic performance of the rotating machine by numerical simulation, comparison with known data will be performed. Reference URL N/A Reasons and benefits of using JAXA・・・<<read more>>