Prediction of aerodynamic coefficients for twisting shapes of buildings and structures based on machine learning and CFD-modelling

Prediction of aerodynamic coefficients for twisting shapes of buildings and structures based on machine learning and CFD-modelling

Introduction. Research was carried out on the application of machine learning to predict aerodynamic coefficients on buildings and structures with twisted form configurations. Data from aerodynamic simulations using numerical modelling in ANSYS CFX was used for training. The quality of predictions m...

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Bibliographic Details
Main Authors: S. G. Saiyan, V. B. Shelepina
Format: Article
Language:English
Published: Moscow State University of Civil Engineering (MGSU) 2024-05-01
Series:Vestnik MGSU
Subjects:
machine learning
numerical modelling
cfd modelling
buildings and structures with twisting shaping
aerodynamic characteristics
aerodynamic coefficients
wind loads on buildings and structures
Online Access:https://www.vestnikmgsu.ru/jour/article/view/265
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