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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2021-10-01
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| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.210568 |