Machine learning for bridge wind engineering

Author:

Zhang Zeyu,Li Shanwu,Feng HuiORCID,Zhou Xuxi,Xu Nan,Li Hui,Laima Shujin,Chen Wenli

Publisher

Elsevier BV

Reference261 articles.

1. Prediction of aeroelastic response of bridge decks using artificial neural networks;Abbas;Computers & Structures,2020

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3. Deep reinforcement learning for active control of a three-dimensional bluff body wake;Amico;Physics of Fluids,2022

4. Amman, O.H., Von Kármán, T., Woodruff, G.B., 1941. The failure of the tacoma narrows bridge. Technical Report - Rutherford Appleton Laboratory - Council for the Central Laboratory of the Research Councils, 105559175.

5. Modeling nonlinear aeroelastic forces for bridge decks with various leading edges using lstm networks;An;Applied Sciences,2023

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