Data from: 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 (LHS) and numerical simulation, sampling poin...

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Bibliographische Detailangaben

Hauptverfasser:	Mou, Zheyue, Yan, Bo, Yang, Hanxu, Cai, Daoda, Huang, Guizao
Format:	Dataset
Sprache:	eng
Schlagworte:	FOS: Civil engineering
Online-Zugang:	Volltext bestellen
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