Determination of shear strength of steel fiber RC beams: application of data-intelligence models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Architecture,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11709-018-0504-4.pdf
Reference42 articles.
1. Zollo R F. Fiber-reinforced concrete: an overview after 30 years of development. Cement and Concrete Composites, 1997, 19(2): 107–122
2. Park K, Paulino G H, Roesler J. Cohesive fracture model for functionally graded fiber reinforced concrete. Cement and Concrete Research, 2010, 40(6): 956–965
3. Park S H, Kim D J, Ryu G S, Koh K T. Tensile behavior of ultra high performance hybrid fiber reinforced concrete. Cement and Concrete Composites, 2012, 34(2): 172–184
4. Graybeal B A. Compressive behavior of ultra-high-performance fiber-reinforced concrete. ACI Materials Journal, 2007, 104(2): 146–152
5. Pantelides C P, Garfield T T, Richins W D, Larson T K, Blakeley J E. Reinforced concrete and fiber reinforced concrete panels subjected to blast detonations and post-blast static tests. Engineering Structures, 2014, 76: 24–33
Cited by 19 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. Neural network - Game theory coupled approach for predicting flexural performance of fibre-reinforced concrete;Journal of Building Engineering;2024-06
2. Strengthening Shear Resistance of Beams without Web Reinforcements Using Vertical Prestressed Steel Bars;Advances in Materials Science and Engineering;2022-08-12
3. Robust Prediction of Shear Strength of SFRC Using Artificial Neural Networks;Sustainability;2022-07-12
4. Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate;Complexity;2022-05-14
5. Application of Machine Learning in Prediction of Shear Capacity of Headed Steel Studs in Steel–Concrete Composite Structures;International Journal of Steel Structures;2022-03-10
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