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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Detalles Bibliográficos
Autores principales: Mou, Zheyue, Yan, Bo, Yang, Hanxu, Cai, Daoda, Huang, Guizao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493202/
https://www.ncbi.nlm.nih.gov/pubmed/34754494
http://dx.doi.org/10.1098/rsos.210568

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493202/
https://www.ncbi.nlm.nih.gov/pubmed/34754494
http://dx.doi.org/10.1098/rsos.210568

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