Machine learning-based prediction models for peak characteristic parameters of circular-section corroded stirrup-confined concrete

ZHANG Xin; ZHENG Shansuo; LI Chenglong; RUAN Sheng; HUANG Keqi; GAO Pu

doi:10.11835/j.issn.2096-6717.2026.056

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Machine learning-based prediction models for peak characteristic parameters of circular-section corroded stirrup-confined concrete

更新时间：2026-07-28

- Machine learning-based prediction models for peak characteristic parameters of circular-section corroded stirrup-confined concrete
- Journal of Civil and Environmental Engineering Pages: 1-12(2026)
- 作者机构：
  
  1.西安建筑科技大学土木工程学院；结构工程与抗震教育部重点实验室，西安 710055
  2.中国建筑第六工程局有限公司，天津 300171
- 作者简介：
  
  brief: ZHANG Xin (1997-), PhD candidate, main research interest: seismic resistance and durability of engineering structures, E-mail: zhangxin35710@163.com.
  ZHENG Shansuo （corresponding author）， professor， doctorial supervisor， E-mail： zhengshansuo@263.net.
- 基金信息：
  
  National Natural Science Foundation of China(52278530);Key R & D Projects in Shaanxi Province(2021ZDLSF06-10)
- DOI：10.11835/j.issn.2096-6717.2026.056
  CLC： TU375
- Received：20 April 2026，
  
  Online First：28 July 2026，
- 稿件说明：
移动端阅览
张欣,郑山锁,李成龙等.基于机器学习的圆形截面锈蚀箍筋约束混凝土峰值特征参数预测模型[J].土木与环境工程学报,

ZHANG Xin,ZHENG Shansuo,LI Chenglong,et al.Machine learning-based prediction models for peak characteristic parameters of circular-section corroded stirrup-confined concrete[J].Journal of Civil and Environmental Engineering,
张欣,郑山锁,李成龙等.基于机器学习的圆形截面锈蚀箍筋约束混凝土峰值特征参数预测模型[J].土木与环境工程学报, DOI：10.11835/j.issn.2096-6717.2026.056.

ZHANG Xin,ZHENG Shansuo,LI Chenglong,et al.Machine learning-based prediction models for peak characteristic parameters of circular-section corroded stirrup-confined concrete[J].Journal of Civil and Environmental Engineering, DOI：10.11835/j.issn.2096-6717.2026.056.

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ZHANG Xin

ZHENG Shansuo

RUAN Sheng

YUAN Jiawei

HU Jinhua

WANG Xichen

ZHANG Xin

ZHENG Shansuo

Related Institution

School of Civil Engineering; Key Laboratory of Structural Engineering and Earthquake Resistance, Ministry of Education, Xi’an University of Architecture and Technology

China Construction Eighth Bureau Second Construction Co., LTD

School of Civil Engineering; Key Laboratory of Structural Engineering and Earthquake Resistance, Ministry of Education, Xi’an University of Architecture and Technology

Faculty of Infrastructure Engineering

State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology

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Machine learning-based prediction models for peak characteristic parameters of circular-section corroded stirrup-confined concrete

DOI：10.11835/j.issn.2096-6717.2026.056