Design Parameter Optimization of Self-centering Pier Based on Deep Learning

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- Design Parameter Optimization of Self-centering Pier Based on Deep Learning
- “在桥梁工程领域，专家提出了基于深度学习的摇摆自复位桥墩设计参数优化方法，为提升桥墩抗震性能提供解决方案。”
- Advanced Engineering Sciences Vol. 56, Issue 6, Pages: 185-196(2024)
- 作者机构：
  
  兰州交通大学土木工程学院，甘肃兰州 730070
- 作者简介：
- 基金信息：
- DOI：10.12454/j.jsuese.202300574
  CLC： U443.22
- Published：20 November 2024，
  
  Published Online：07 May 2024，
  
  Received：27 July 2023，
  
  Revised：20 January 2024，
- 稿件说明：
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张维科,刘正楠,陈兴冲,等.基于深度学习的摇摆自复位桥墩设计参数优化方法[J].工程科学与技术,2024,56(6):185–196

Zhang Weike,Liu Zhengnan,Chen Xingchong,et al.Design parameter optimization of self-centering pier based on deep learning[J].Advanced Engineering Sciences,2024,56(6):185–196
张维科,刘正楠,陈兴冲,等.基于深度学习的摇摆自复位桥墩设计参数优化方法[J].工程科学与技术,2024,56(6):185–196 DOI： 10.12454/j.jsuese.202300574.

Zhang Weike,Liu Zhengnan,Chen Xingchong,et al.Design parameter optimization of self-centering pier based on deep learning[J].Advanced Engineering Sciences,2024,56(6):185–196 DOI： 10.12454/j.jsuese.202300574.

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