Prediction model for aerodynamic coefficients of iced quad bundle conductors based on machine learning method

The lift, drag and torsional moment coefficients, versus wind attack angle of iced quad bundle conductors in the cases of different conductor structure, ice and wind parameters are numerically simulated and investigated. With the Latin hypercube sampling and numerical simulation, sampling points are...

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Bibliographic Details

Published in:	Royal Society Open Science
Main Authors:	Zheyue Mou, Bo Yan, Hanxu Yang, Daoda Cai, Guizao Huang
Format:	Article
Language:	English
Published:	The Royal Society 2021-10-01
Subjects:	aerodynamic coefficients iced quad bundle conductor prediction model galloping machine learning
Online Access:	https://royalsocietypublishing.org/doi/10.1098/rsos.210568