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An efficient deep learning prediction method for aerodynamic performance based on the shape of the main beam
Digital Twins and Intelligent Construction | 更新时间：2023-11-28

    • An efficient deep learning prediction method for aerodynamic performance based on the shape of the main beam

    • “In the field of aerodynamic performance evaluation, researchers have successfully achieved rapid prediction of aerodynamic performance of blunt body cross-sections using convolutional neural network deep learning technology. By optimizing the network structure, the error between the resistance coefficient output by the model and the CFD calculation results meets expectations, and the prediction efficiency is greatly improved, providing a key method for optimizing the aerodynamic shape of blunt body sections.”
    • Journal of Civil and Environmental Engineering   Vol. 46, Issue 1, Pages: 122-129(2024)

    • DOI：10.11835/j.issn.2096-6717.2022.025    

      CLC： TU318;U441

    • Received：01 November 2020，

      Published：25 February 2024

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  • LI Shaopeng,LI Hai,LI Ke.An efficient deep learning prediction method for aerodynamic performance based on the shape of the main beam[J].Journal of Civil and Environmental Engineering,2024,46(01):122-129. DOI： 10.11835/j.issn.2096-6717.2022.025.

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