Improved predictive model to the cross-sectional resistance of CFT
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s12206-017-0733-9.pdf
Reference47 articles.
1. M. Johansson, The efficiency of passive confinement in CFT columns, Steel Compos. Struct., 2 (2002) 379–396.
2. K. A. S. Susantha, H. Ge and T. Usami, A capacity prediction procedure for concrete-filled steel columns, J. Earthq. Eng., 5 (4) (2001) 483–520.
3. G. D. Hatzigeorgiou, Numerical model for the behavior and capacity of circular CFT columns, Part I: Theory, Eng. Struct., 30 (6) (2008) 1573–1578.
4. R. Chacón, E. Mirambell and E. Real, Resistance of concrete-filled tubular structures (CFT) on integral bridges, Inf. Constr., 64 (527) (2012) 355–370.
5. Bradford Centre for Sustainable Environments (2014).
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Compressive behavior of sustainable rubberized concrete‐filled steel tube columns having various recycled tire rubber aggregate contents and developing a predictive design model;Structural Concrete;2024-07-17
2. A comprehensive and reliable investigation of axial capacity of Sy-CFST columns using machine learning-based models;Engineering Structures;2023-06
3. Prediction of Axial Compressive Load–Strain Curves of Circular Concrete-Filled Steel Tube Columns Using Long Short-Term Memory Network;Materials;2023-04-22
4. Machine learning applications to predict the axial compression capacity of concrete filled steel tubular columns: a systematic review;Multidiscipline Modeling in Materials and Structures;2022-12-30
5. Axial Compression Prediction and GUI Design for CCFST Column Using Machine Learning and Shapley Additive Explanation;Buildings;2022-05-23
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3