Details of the Researcher

PHOTO

Shigetaka Kawai
Section
Graduate School of Engineering
Job title
Assistant Professor
e-Rad No.
40982830

Research History 5

  • 2025/11 - Present
    Tohoku University　Graduate School of Engineering Department of Aerospace Engineering　Assistant Professor

  • 2023/10 - 2025/10
    Tohoku University　Graduate School of Engineering Department of Aerospace Engineering　Project Assistant Professor

  • 2023/04 - 2023/09
    Tohoku University　Graduate School of Engineering, Department of Aerospace Engineering　Project Researcher

  • 2021/04 - 2023/03
    Aix-Marseille University　M2P2　Postdoctoral Researcher

  • 2019/04 - 2021/03
    Japan Society for the Promotion of Science

Education 3

  • The University of Tokyo　The Graduate School of Engineering　Department of Aeronautics and Astronautics

    2018/04 - 2021/03

  • The University of Tokyo　The Graduate School of Engineering　Department of Aeronautics and Astronautics

    2016/04 - 2018/03

  • Kyoto University　Faculty of Engineering　School of Engineering Science

    2012/04 - 2016/03

Professional Memberships 4

  • 日本流体力学会

  • American Physical Society

  • American Institute of Aeronautics and Astronautics

  • The Japan Society for Aeronautical and Space Sciences

Research Interests 5

  • Multiphase flows

  • Turbulence

  • Uncertainty Quantification

  • Aerodynamics

  • Computational Fluid Dynamics

Research Areas 1

  • Aerospace, marine, and maritime Engineering / Aerospace engineering /

Awards 1

  1. 研究科長賞（研究・博士課程）

    2021/03　東京大学大学院工学系研究科

Papers 10

  1. Detecting Turbulent Breakdown for Predicting Transitional Boundary Layers in Wall-Modeled Large-Eddy Simulation Peer-reviewed

    Shigetaka Kawai, Yuta Iwatani, Chinatsu Eto, Soshi Kawai

    AIAA Journal　2026/02/22

    DOI： 10.2514/1.J066244 　

  2. Logarithmic mean approximation in improving entropy conservation in KEEP scheme with pressure equilibrium preservation property for compressible flows Peer-reviewed

    Shigetaka Kawai, Soshi Kawai

    Journal of Computational Physics　2025/06

    DOI： 10.1016/j.jcp.2025.113897 　

  3. Freestream Turbulence Effects in Large-Eddy Simulations of Laminar Separation Bubble Peer-reviewed

    Shigetaka Kawai, Kengo Asada, Akira Oyama

    Journal of Aircraft　2023/04/24

    DOI： 10.2514/1.C037058 　

  4. Gegenbauer reconstruction method with edge detection for multi-dimensional uncertainty propagation Peer-reviewed

    Shigetaka Kawai, Wataru Yamazaki, Akira Oyama

    Journal of Computational Physics　2022/11

    DOI： 10.1016/j.jcp.2022.111505 　

  5. Uncertainty quantification of supersonic biplane airfoil by multi-element polynomial chaos based on edge detection

    Shigetaka Kawai, Wataru Yamazaki, Akira Oyama

    AIAA Scitech 2021 Forum　1-8　2021

    Publisher: American Institute of Aeronautics and Astronautics Inc, AIAA

  6. Multi-Element Stochastic Galerkin Method Based on Edge Detection for Uncertainty Quantification of Discontinuous Responses Peer-reviewed

    Kawai, Shigetaka, Oyama, Akira

    Journal of Verification, Validation and Uncertainty Quantification　5　(4)　2020/12

    DOI： 10.1115/1.4049200 　

    ISSN： 2377-2158

  7. Uncertainty Quantification and Global Sensitivity Analysis of Low-Reynolds-Number Airfoil for Future Mars Airplane Peer-reviewed

    Shigetaka KAWAI, Akira OYAMA

    TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES　63　(4)　2020

    DOI： 10.2322/tjsass.63.172 　

  8. Evaluation of inflow turbulent fluctuation effects on laminar separation bubbles using large eddy simulations

    Shigetaka Kawai, Kengo Asada, Akira Oyama

    AIAA Scitech 2019 Forum　2019

    Publisher: American Institute of Aeronautics and Astronautics Inc, AIAA

    DOI： 10.2514/6.2019-1871 　

  9. Dominant parameters for maximum velocity induced by body-force models for plasma actuators Peer-reviewed

    Shigetaka Kawai, Thijs Bouwhuis, Yoshiaki Abe, Aiko Yakeno, Taku Nonomura, Hikaru Aono, Akira Oyama, Harry W. M. Hoeijmakers, Kozo Fujii

    Theoretical and Computational Fluid Dynamics　32　(6)　805-820　2018/12/25

    Publisher: Springer Science and Business Media {LLC}

    DOI： 10.1007/s00162-018-0478-9 　

  10. Sensitivity and uncertainty analysis of airfoil characteristics at low reynolds numbers

    Shigetaka Kawai, Akira Oyama

    10th International Conference on Computational Fluid Dynamics, ICCFD 2018 - Proceedings　2018

    Publisher: International Conference on Computational Fluid Dynamics 2018

Show all ︎Show first 5

Research Projects 3

  1. 移動変形する複雑形状物体周りの高忠実圧縮性乱流解析のための基盤構築

    河合 成孝

    Offer Organization: 日本学術振興会

    System: 科学研究費助成事業

    Category: 若手研究

    Institution: 東北大学

    2026/04/01 - 2029/03/31

  2. Development of Efficient Uncertainty Quantification Method in Large-Scale Flow Simulations and Application to Aerodynamic Design of Mars Airplane

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for JSPS Fellows

    Institution: The University of Tokyo

    2019/04/25 - 2021/03/31

  3. Research on performance demonstration for practical use of DBD plasma actuator

    Asada Kengo, Kawai Soshi, Kawai Shigetaka, Oyama Akira

    Offer Organization: Japan Society for the Promotion of Science

    System: Grants-in-Aid for Scientific Research

    Category: Grant-in-Aid for Young Scientists (B)

    Institution: Tokyo University of Science

    2016/04/01 - 2019/03/31

    More details Close

    Toward utilization of DBD plasma actuator which is a micro flow control device in real environments with flow disturbance, we developed a simulation method of turbulent flow and verified the influence on a separation bubble formed on a flat plate. As a result, it was found that the separated bubble area where the flow does not flow along the flat plate becomes smaller in the cases with disturbance compared with the ideal simulation without disturbance, and it approaches the experimental result. In addition, we clarified that the intensity and scale of the turbulent flow also affect the size of the separated bubbles, indicating the importance of turbulence evaluation. Moreover, large-scale turbulence simulations of the flow around the wing were conducted, and the unsteady physical phenomena necessary for constructing a turbulent flow model near the wall were clarified.

Teaching Experience 1

  1. Mechanical and Aerospace Experiments I　Tohoku University