Invited Talk: Wind Headings
INVITED · W01 · ID: 683473
Presentations
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How cityscapes catch the wind: predicting wind loading and natural ventilation
ORAL · Invited
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Publication: Y. Hwang and C. Gorlé, "Identifying similarity relationships for natural ventilation flow rates using large-eddy simulations", submitted to Flow.<br><br>Z. Huang, M. Ciarlatani, D. Philips, and C. Gorlé, "Investigation of peak wind loading on a high-rise building using large-eddy simulations," in preparation.<br><br>Lamberti, G., & Gorle, C. (2021). A multi-fidelity machine learning framework to predict wind loads on buildings. Journal of Wind Engineering and Industrial Aerodynamics, 214.<br><br>Lamberti, G., & Gorle, C. (2020). Sensitivity of LES predictions of wind loading on a high-rise building to the inflow boundary condition. Journal of Wind Engineering and Industrial Aerodynamics, 206.
Presenters
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Catherine Gorle
Stanford University, Stanford
Authors
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Catherine Gorle
Stanford University, Stanford
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