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 2 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 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

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

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