Bio-inspired predictive models for shear strength of reinforced concrete beams having steel stirrups
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-020-04698-x.pdf
Reference77 articles.
1. Adhikary BB, Mutsuyoshi H, Sano M (2000) Shear strengthening of reinforced concrete beams using steel plates bonded on beam web: experiments and analysis. Constr Build Mater 14(5):237–244
2. Alam MA, Al Riyami K (2018) Shear strengthening of reinforced concrete beam using natural fibre reinforced polymer laminates. Constr Build Mater 162:683–696
3. Aljarah I, Mafarja M, Heidari AA, Faris H, Zhang Y, Mirjalili S (2018) Asynchronous accelerating multi-leader salp chains for feature selection. Appl Soft Comput 71:964–979
4. Al-Rousan RZ, Issa MA (2016) The effect of beam depth on the shear behavior of reinforced concrete beams externally strengthened with carbon fiber-reinforced polymer composites. Adv Struct Eng 19:1769–1779
5. Amani J, Moeini R (2012) Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network. Sci Iran 19(2):242–248
Cited by 25 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. Comparative study of different machine learning approaches for predicting the compressive strength of palm fuel ash concrete;Journal of Building Engineering;2024-07
2. Numerical simulation and theoretical analysis on RECC ring beam joints for RECC-encased CFST composite columns;Engineering Structures;2023-11
3. Target-Network Update Linked with Learning Rate Decay Based on Mutual Information and Reward in Deep Reinforcement Learning;Symmetry;2023-09-28
4. A comparative study of shear strength prediction models for SFRC deep beams without stirrups using Machine learning algorithms;Structures;2023-09
5. Shear Capacity of RC Elements With Transverse Reinforcement Through a Variable-Angle Truss Model With Machine-Learning-Calibrated Coefficients;Advances in Civil and Industrial Engineering;2023-03-17
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