Neural networks in air turbulence modelling : Correction models

Vladimir Pekunov

ISBN 10: 6205434717 / ISBN 13: 9786205434710

Published by Our Knowledge Publishing, 2022

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Local and integral (corrective, correcting Abramovich-Sekundov and Spalart-Allmaras models) neural network models of turbulent viscosity are proposed, showing intermediate accuracy results between one-parameter and two-parameter models. A new algorithm for controlling the numerical calculation error in some typical problems of aerodynamics has been proposed. Its effectiveness on a number of problems is shown. The algorithm is based on the application of particle indicators and uses the particle-in-cell method. The principles of data compression, representing physical quantities varying depending on some parameter, by constructing cluster-neural network descriptions, are proposed.

Seller Inventory # 9786205434710

Bibliographic Details

• Title: Neural networks in air turbulence modelling : Correction models
• Publisher: Our Knowledge Publishing
• Publication Date: 2022
• Language: English
• ISBN 10: 6205434717
• ISBN 13: 9786205434710
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Local and integral (corrective, correcting Abramovich-Sekundov and Spalart-Allmaras models) neural network models of turbulent viscosity are proposed, showing intermediate accuracy results between one-parameter and two-parameter models. A new algorithm for controlling the numerical calculation error in some typical problems of aerodynamics has been proposed. Its effectiveness on a number of problems is shown. The algorithm is based on the application of particle indicators and uses the particle-in-cell method. The principles of data compression, representing physical quantities varying depending on some parameter, by constructing cluster-neural network descriptions, are proposed.