The Use of Machine Learning for the Prediction of fire Resistance of Composite Shallow Floor Systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s10694-021-01108-y.pdf
Reference23 articles.
1. Flint G, Lamont S, Lane B, Sarrazin H, Lim L, Rini D, Roben C (2013) Recent lessons learned in structural fire engineering for composite steel structures. Fire technol 49(3):767–792
2. Usmani AS, Rotter JM, Lamont S, Sanad AM, Gillie M (2001) Fundamental principles of structural behaviour under thermal effects. Fire Safety J 36(8):721–744
3. Newman GM (1995) Fire resistance of slim floor beams. J Constr Steel Res 33(1–2):87–100
4. Bailey CG (1999) The behaviour of asymmetric slim floor steel beams in fire. J Constr Steel Res 50(3):235–257
5. Mäkeläinen P, Ma Z (2000) Fire resistance of composite slim floor beams. J constr steel res 54(3):345–363
Cited by 20 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. Predicting the Average Charring Rate of Mass Timber Using Data-Driven Methods for Structural Calculations;Fire Technology;2024-07-13
2. A sensitivity analysis of machine learning models on fire-induced spalling of concrete: Revealing the impact of data manipulation on accuracy and explainability;COMPUT CONCRETE;2024
3. Smart building fire safety design driven by artificial intelligence;Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure;2024
4. Predicting the Effectiveness of Air Curtains in Confining Heat and Smoke Propagation in Informal Shopping Malls Using Supervised Machine Learning;SSRN Electronic Journal;2024
5. Machine learning-based probabilistic predictions of shear resistance of welded studs in deck slab ribs transverse to beams;STEEL COMPOS STRUCT;2023
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