Machine learning-based prediction of shear strength of steel reinforced concrete columns subjected to axial compressive load and seismic lateral load
Author:
Publisher
Elsevier BV
Subject
Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference113 articles.
1. Seismic performance of steel-reinforced concrete composite columns in existing and modern construction;Hassan;Soil Dyn Earthq Eng,2021
2. Bond behavior of H-shaped steel embedded in recycled aggregate concrete under push-out loads;Zheng;Int J Steel Struct,2016
3. Seismic behavior of multi-cell steel reinforced concrete columns: Experimental study;Yin;J Build Eng,2022
4. Z. Chen, J. Xu, Y. Chen, J. Xue, Seismic behavior of steel reinforced concrete (SRC) T-shaped column-beam planar and 3D hybrid joints under cyclic loads, Earthquakes Struct. 8(3) (2015) 555-572. 10.12989/eas.2015.8.3.555.
5. Experimental study on the static performance of steel reinforced concrete columns with high encased steel ratios;Zhao;Struct Des Tall Special Build,2018
Cited by 9 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. Neighborhood component analysis-based feature selection in machine learning to predict tendon ultimate stress of unbonded prestressed concrete beams;Case Studies in Construction Materials;2024-12
2. Predictive models in machine learning for strength and life cycle assessment of concrete structures;Automation in Construction;2024-06
3. Unified artificial neural network, linear and nonlinear statistics methods for forecasting the capacity of axially loaded concrete-filled steel tube (CFST) members;Structures;2024-06
4. Enhancing Structural Evaluation: Machine Learning Approaches for Inadequate Reinforced Concrete Frames;Iranian Journal of Science and Technology, Transactions of Civil Engineering;2024-04-29
5. Predicting the maximum lateral load of reinforced concrete columns with traditional machine learning, deep learning, and structural analysis software;COMPUT CONCRETE;2024
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