Centers & Labs

RIKEN Advanced Institute for Computational Science

Complex Phenomena Unified Simulation Research Team

Team Leader: Makoto Tsubokura (Ph.D.)
Makoto  Tsubokura(Ph.D.)

When we look into complex flow phenomena observed in natural environment or manufacturing processes, they are sometimes relating to and coupled with structure deformation, heat transfer, electromagnetic field or chemical reaction. While each simulation method has been optimized to such a specific phenomenon, increasing attention is now paid to such complex phenomena governed by multiple governing equations. The problem of coupled simulation by combining existing different simulation methods is it is very difficult to utilize efficiently rapidly-growing computational environment. The objective of our team is to develop a unified simulation method for the complex phenomena with multiple time and space scales simultaneously by effectively utilizing massively parallel resources. We also provide tools or algorithm relating to the unified simulation to support supercomputer uses for their programming and usage environment.

Main Research Field


Related Research Fields

Environmental science / Interdisciplinary science and engineering / Mathematical and physical sciences

Research Subjects

  • Development of unified algorithm for flow phenomena coupled with such as structure deformation, heat transfer, electromagnetic field, or chemical reaction
  • Development of tools and algorithm for efficiently utilizing massively parallel environment based on the unified data structure
  • Validation of the unified simulation on problems in manufacturing processes

Selected Publications

  1. Chun-Gang Li, Makoto Tsbuokura, Keiji Onishi:
    “Feasibility Investigation of Compressible Direct Numerical Simulation with Preconditioning Method at Extremely Low Mach Numbers”
    International Journal of Computational Fluid Dynamics, vol.28, Issue 6-10, pp.411-419, (2014)
  2. Keiji Onishi, Makoto Tsubokura:
    “Vehicle Aerodynamics Simulation for the Next Generation on the K computer: Part 2 Use of Dirty CAD Data with Modified Cartesian Grid Approach”
    SAE International Journal of Passenger Cars – Mechanical Systems, 7(2): 2014-01-0580(2014)
  3. Makoto Tsubokura, Andrew Hamilton Kerr, Keiji Onishi, Yoshimitsu Hashizume:
    “Vehicle Aerodynamics Simulation for the Next Generation on the K-computer: Part 1 Development of the framework for fully unstructured grids up to 10 billion numerical elements”
    SAE International Journal of Passenger Cars – Mechanical Systems, 7(2): 2014-01-0621(2014)
  4. Wu-Shung Fu, Chung-Gang Li, Makoto Tsubokura, Yun Huang, J. A. Domaradzki:
    “An Investigation of Compressible Turbulent Forced Convection by an Implicit Turbulence Model for Large Eddy Simulation”
    Numerical Heat Transfer, PartA: Applications, vol.64, issue 11, pp.858-878 (2013)
  5. Keiji Onishi, Shigeru Obayashi, Kazuhiro Nakahashi, Makoto Tsubokura:
    “Use of the Immersed Boundary Method within the Building Cube Method and its Application to Real Vehicle CAD Data”
    21st AIAA Computational Fluid Dynamics Conference, AIAA-2013-2713 (2013)
  6. Seeyuan Cheng, Makoto Tsubokura, Yoshihiro Okada, Takahide Nouzawa, Takuji Nakashima, and Deog Hee Doh:
    “Aerodynamic Stability of Road Vehicles in Dynamic Pitching Motion”
    Journal of Wind Engineering and Industrial Aerodynamics, vol.122, pp.146-156(2013)
  7. Takuji Nakashima, Makoto Tsubokura, Mariano Vázquez, Herbert Owen, Yasuaki Doi:
    “Coupled analysis of unsteady aerodynamics and vehicle motion of a road vehicle in windy conditions”
    Journal of Computers & Fluids, vol.80(10), pp.1-9 (2013)

Lab Members

Principal Investigator

Makoto Tsubokura
Team Leader

Core Members

Keiji Onishi
Postdoctoral Researcher
Rahul Bale
Postdoctoral Researcher
Koji Nishiguchi
Postdoctoral Researcher
Wei-Hsiang Wang
Postdoctoral Researcher
Shigenobu Okazawa
Senior Visiting Scientist
Tetsuro Tamura
Senior Visiting Scientist
Ryoichi Kurose
Visiting Scientist
Chung-Gang Li
Visiting Scientist
Leif Niclas Jansson
Visiting Scientist
Andreas Lintermann
Visiting Scientist
Tsukasa Hori
Visiting Scientist
Jun Ikeda
Visiting Scientist

Contact information


Email: mtsubo [at]

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