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    ABSTRACT

    Estimation of Turbulent Flow from Wall Information via Machine Learning

    Yousuke Shimoda1, Takahiro Matsumori1, Kazuki Sato1, Tatsuro Hirano1, Naoya Fukushima1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 16-16, 2021, DOI:10.32604/icces.2021.08337

    Abstract Along with rapid development of computer technologies, a wide range of turbulent flows have been investigated by direct numerical simulations and the big databases have been built throughout the world. From the DNS results, we can investigate turbulent characteristics in three-dimensional space and time. In the laboratory experiment, we can apply sophisticated laser diagnostics technique to measure flow field non-invasively in research. On actual equipment, it is very difficult to get the flow field data away from the wall. We can measure only wall information, such as wall shear stresses and pressure. When we predict turbulence from wall information, we… More >

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