中国矿业大学主页平台系统 zhaoyushuai--Home-- Point cloud-based deep learning approach for predicting the tensile properties of steel plates considering random corrosion distribution

赵玉帅 Assistant researcher

赵玉帅，男，江苏徐州人，1994年3月生。自2022年12月开始，在中国矿业大学力学与土木工程学院从事教学科研工作。主持国家自然科学基金青年基金、中建八局等企业委托等7项课题，参与国家重点研发计划课题、国家自然科学基金面上项目等3项。在Engineering Structures、Thin-walled Structures、建筑结构学报等期刊发表SCI、EI论文20余篇，授权发明专利10余项。获中国钢结构协会科学技术一等奖、中国建筑金属结构协会科学技术二等...Detials

Paper Publications Current position: Home > Scientific Research > Paper Publications

Point cloud-based deep learning approach for predicting the tensile properties of steel plates considering random corrosion distribution

Release time:2025-12-30 Hits:

DOI number:10.1016/j.jobe.2025.112305
Affiliation of Author(s):力学与土木工程学院
Funded by:其他课题
First Author:zhaoyushuai
Co-author:李一凡,ZHANG Yingying,xujunhao,胡轩瑞,刘金仓,吴玮珍,王聪聪
Indexed by:Journal paper
Volume:v 104,
Translation or Not:no
Date of Publication:2025-06-15

Pre One: Experimental and numerical investigation of corroded compression members in space structure reinforced with sleeves

Next One: 不同轴压比下GFRP-RC梁柱节点抗震性能研究