Shear strengthening of RC beams with NSM FRP. II: Assessment of strength models

Author:

Ke Y.1ORCID,Zhang S.S.12ORCID,Jedrzejko M.J.1,Fernando D.1,Nie X.F.1

Affiliation:

1. School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China

2. National Center of Technology Innovation for Digital Construction, Huazhong University of Science and Technology, Wuhan, China

Abstract

The application of near-surface mounted (NSM) fiber-reinforced polymer (FRP) for shear strengthening of RC beams has attracted abundant research in the past few decades, and a number of strength models for predicting the contribution of NSM FRPs to the shear capacity of strengthened beam have been proposed. In the first of these two companion papers, a total of 12 strength models of NSM FRP shear strengthened RC beams collected from the existing literature have been comprehensively reviewed, while the present paper aims to provide an objective assessment of these models. To this end, the experimental results of 196 RC beams strengthened in shear with NSM FRP bars/strips are collected from the existing literature, as the database for the assessment. The comparisons between the experimental results and predictions by these strength models reveal that the existing strength models all fail to give accurate predictions. The reasons for the inaccurate predictions of these models are also analyzed.

Funder

National Natural Science Foundation of China

Key Research and Development Program of Hubei Province of China

Publisher

SAGE Publications

Subject

Building and Construction,Civil and Structural Engineering

Cited by 3 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. Strength models of near-surface mounted (NSM) fibre-reinforced polymer (FRP) shear-strengthened RC beams based on machine learning approaches;Composite Structures;2024-06

2. Predicting Shear Capacity of RC Beams Strengthened with NSM FRP Using Neural Networks;2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT);2023-11-20

3. Shear strengthening of RC beams with NSM FRP. I: Review of strength models;Advances in Structural Engineering;2022-09-29

同舟云学术

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