Data-driven-science-based spatio-temporal super-resolution measurement of a large scale turbulent structure of supersonic jet

2022 Fiscal Year Final Research Report

• Project/Area Number: 20H00278
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Medium-sized Section 24:Aerospace engineering, marine and maritime engineering, and related fields
• Research Institution: Tohoku University
• Principal Investigator: Nonomura Taku 東北大学, 工学研究科, 准教授 (60547967)
• Co-Investigator(Kenkyū-buntansha): 芳賀 臣紀 国立研究開発法人宇宙航空研究開発機構, 研究開発部門, 主任研究開発員 (30646930) ; 浅井 圭介 東北大学, 工学研究科, 教授 (40358669) ; 齋藤 勇士 東北大学, 工学研究科, 助教 (50828788)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: データ駆動科学 / 超音速流 / 超時空間解像計測 / 粒子画像速度計測法 / 空力音響

Outline of Final Research Achievements

In this research project, we developed a spatiotemporal superresolution algorithm and applied it to the measurement of supersonic flow, which enables us to estimate the spatiotemporally resolved measurement results of supersonic flow beyond the conventional measurement limit. First, we conducted a spatio-temporal superresolution measurement based on linear statistical estimation, and measured screech phenomena with characteristic frequency components, and created a database to discuss their physical phenomena. Furthermore, we have successfully performed dynamic mode decomposition of paired velocity fields with short time intervals using dual PIV, and have performed superresolution measurements based on dynamic mode decomposition. These techniques revealed physical phenomena that were difficult to estimate by conventional measurements.

Free Research Field

航空宇宙工学

Academic Significance and Societal Importance of the Research Achievements

本研究課題では，これまで計測できなかった超音速機などがつくる極限流れをデータ駆動科学を利用して，超時空間解像された流れ場を推定する方法を開発し，それを利用することで物理現象の理解を深める研究を行った．これまでに計測できなかった極限流れを計測できるようにすることで，先進の航空機や列車，自動車などの輸送機の開発に活きる技術となると考えられる．