The prediction of fire performance of concrete-filled steel tubes (CFST) using artificial neural network
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Building and Construction,Civil and Structural Engineering
Reference77 articles.
1. Application of ANN in predicting ACC of SCFST column;Tran;Compos. Struct.,2019
2. Fire behavior and performance of concrete-filled steel tubular columns: review and discussion;Wang;J. Constr. Steel Res.,2019
3. Fire behavior of axially loaded slender high strength concrete-filled tubular columns;Romero;J. Constr. Steel Res.,2011
4. Experimental and numerical investigation of concrete-filled stainless steel columns exposed to fire;Tao;J. Constr. Steel Res.,2016
5. Ambient and fire behavior of eccentrically loaded elliptical slender concrete-filled tubular columns;Espinós;J. Constr. Steel Res.,2014
Cited by 75 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. Fire resistance time prediction and optimization of cold-formed steel walls based on machine learning;Thin-Walled Structures;2024-10
2. Probabilistic machine leaning models for predicting the maximum displacements of concrete-filled steel tubular columns subjected to lateral impact loading;Engineering Applications of Artificial Intelligence;2024-09
3. DEVELOPMENT OF PREDICTION MODELS FOR COMPRESSIVE STRENGTH IN CEMENT MORTAR WITH BENTONITE USING MACHINE LEARNING TECHNIQUES;International Journal of 3D Printing Technologies and Digital Industry;2024-08-30
4. Intelligent prediction method for the collapse time of steel frame structures under fire;Journal of Constructional Steel Research;2024-08
5. Frost-resistance prediction model for stress-damaged lightweight aggregate concrete based on BPNN: a comparative study;Materials Research Express;2024-08-01
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