Computational Fluid Dynamics Laboratory

Categories of technology seeds
Uncertainty QuantificationFluid Machinery


山崎 渉


Science of Technology Innovation
Mechanical Engineering

Associate Professor



Fluid Engineering
Aerospace Engineering
Design and Optimization

Research areas

Shape optimization of aircraft, fluid machineries and so on
Development of efficient optimization approaches
Advanced flow measurement via Particle Image Velocimetry (PIV)
Data integration between experiment and simulation
Aerodynamic drag prediction, decomposition and visualization

Main facilities

Parallel computing cluster
PIV flow measurement apparatus
Flow visualization software

Forte of this laboratory's study

Flow Simulation
Aerodynamic Shape Optimization
Big Data Analysis

Achivements/proposals via industry-academia collabolations

Shape optimization of aircraft using a drag breakdown approach
Shape optimization of vertical axis wind turbine
Data integration between experiment and simulation

Areas interesting to interact with

Application of optimization approaches
Application of uncertainty quantification approaches
Integration between experiment and simulation


We have many research themes and experiences, such as
*incompressible flows
*compressible flows
*two phase flows
*inundation flows
*reactive flows
Please don’t hesitate to contact us.

  • Example of airfoil shape optimization (Left:Initial, Right:Optimal)Example of airfoil shape optimization (Left:Initial, Right:Optimal)
  • Flow simulation around a vertical axis wind turbineFlow simulation around a vertical axis wind turbine
  • Example of Kriging response surface modelExample of Kriging response surface model
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