Optimization of Turbulence Model Parameters Using the Global Search Method Combined with Machine Learning

Optimization of Turbulence Model Parameters Using the Global Search Method Combined with Machine Learning

The paper considers the slope flow simulation and the problem of finding the optimal parameter values of this mathematical model. The slope flow is modeled using the finite volume method applied to the Reynolds-averaged Navier–Stokes equations with closure in the form of the <inline-formula>&l...

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Bibliographic Details
Main Authors: Konstantin Barkalov, Ilya Lebedev, Marina Usova, Daria Romanova, Daniil Ryazanov, Sergei Strijhak
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
global optimization
artificial neural network
function approximation
finite volume method
CFD
OpenFOAM
Online Access:https://www.mdpi.com/2227-7390/10/15/2708

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