Your Location:
Home >
Browse articles >
Prediction of Flutter Derivatives in Streamlined Box Girders Based on Machine Learning
Bridge Engineering | Updated:2026-01-20
    • Prediction of Flutter Derivatives in Streamlined Box Girders Based on Machine Learning

    • WANG Chong , ZHENG Shixiong , ZHANG Ling , LUO Maoli , LI Qiao , ZHOU Meilin
    • Railway Standard Design Vol. 70, Issue 1, Pages: 93-100(2026)
    • DOI: 10.13238/j.issn.1004-2954.202401080009     

      CLC:
    • Revised:2024-04-10 ,

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • Figs( 11 ) Tabs( 0 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

39

Views

21

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Prediction of Minimum Safe Thickness of Anti-Outburst Rock Mass for Shield Tunnel Face with Pressurized Karst Caves
Research on Prediction and Control of Shield Machine Attitude Based on LightGBM
Research Status and Prospect of Anti-overturning Technology for Cross-line Swivel Bridge Construction
Design of Multi-source Based 5G-R Operation Quality Evaluation System
Prediction of Shield Tunneling Parameters Based on Machine Learning

Related Author

WANG Moyan
XIA Wu
MAO Lulu
LOU Zaiming
LUO Jianjun
YANG Ziyi
DONG Siyu
HOU Yanjuan

Related Institution

深圳铁路投资建设集团有限公司,深圳 518000Shenzhen Railway Investment and Construction Group Co., Ltd., Shenzhen 518000, China
中国电建市政建设集团有限公司, 天津 300384Power China Municipal Construction Group Co., Ltd., Tianjin 300384, China
北京交通大学城市地下工程教育部重点实验室, 北京 100044Key Laboratory of Urban Underground Engineering of Ministry of Education, Beijing Jiaotong University, Beijing 100044, China
Wuhan Huazhong Science and Technology University Testing Technology Co., Ltd.
School of Civil and Environmental Engineering, Nanyang Technological University