Machine learning method for overall stability of welded constant section box columns made of high strength steel
Digital Twins and Intelligent Construction|更新时间:2023-11-28
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Machine learning method for overall stability of welded constant section box columns made of high strength steel
“In the field of research on the overall stability of high-strength steel components, experts have proposed using fiber models to construct databases and machine learning to establish predictive models, significantly improving the accuracy and convenience of predictions.”
Journal of Civil and Environmental EngineeringVol. 46, Issue 1, Pages: 182-193(2024)
作者机构:
1.中国矿业大学,力学与土木工程学院,江苏 徐州 221116
2.中国矿业大学,江苏省土木工程环境灾变与结构可靠性重点实验室,江苏 徐州 221116
3.中国建筑第八工程局有限公司南方分公司,广东 深圳 518035
4.西南交通大学 土木工程学院,成都 610031
作者简介:
brief: ZHANG Yingying (1985- ), PhD, associate professor, main research interest: long span spatial structure, E-mail: zhangyingying85@163.com.
ZHOU Yi (corresponding author), PhD, E-mail: suzhouzhouyi@home.swjtu.edu.cn.
基金信息:
National Natural Science Foundation of China(52278229)
ZHANG Yingying,XU Hao,CHEN Peijian,et al.Machine learning method for overall stability of welded constant section box columns made of high strength steel[J].Journal of Civil and Environmental Engineering,2024,46(01):182-193.
ZHANG Yingying,XU Hao,CHEN Peijian,et al.Machine learning method for overall stability of welded constant section box columns made of high strength steel[J].Journal of Civil and Environmental Engineering,2024,46(01):182-193. DOI: 10.11835/j.issn.2096-6717.2022.131.
Machine learning method for overall stability of welded constant section box columns made of high strength steel