PSI - Issue 64

First page Table of contents Previous page 478 Next page Last page

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ^ĐŝĞŶĐĞ ŝƌĞĐƚ Structural Integrity Procedia 00 (2023) 000 – 000 Available online at www.sciencedirect.com ^ĐŝĞŶĐĞ ŝƌĞĐƚ Structural Integrity Procedia 00 (2023) 000 – 000

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 64 (2024) 999–1008

SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Comparative Study of Design Models for Shear Strengthening of RC Beams with NSM FRP Amir Mofidi a, *, Sara Mirzabagheri b , Mona Rajabifard c , Kourosh Nasrollahzadeh d SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures Comparative Study of Design Models for Shear Strengthening of RC Beams with NSM FRP Amir Mofidi a, *, Sara Mirzabagheri b , Mona Rajabifard c , Kourosh Nasrollahzadeh d

a Associate Professor at Brock University, St.Catharines, Canada b Postdoctoral Fellow at Brock University St.Catharines,Canada c Research Assistant at Brock University St.Catharines,Canada d Associate Professor at K.N. Toosi University of Technology,Tehran, Iran a Associate Professor at Brock University, St.Catharines, Canada b Postdoctoral Fellow at Brock University St.Catharines,Canada c Research Assistant at Brock University St.Catharines,Canada d Associate Professor at K.N. Toosi University of Technology,Tehran, Iran

Abstract This study investigates the accuracy of the existing design models for shears-strengthened reinforced concrete (RC) beams with near-surface mounted (NSM) fibre-reinforce polymer (FRP) rods and laminates. Comparative studies have been conducted on the predicted shear contributions of NSM FRP materials in the strengthened beams using state-of-the-art existing design models. To assess the accuracy of these models, the predictions were compared with the experimental results on 131 test specimens from 24 studies. The results of this study can be used for standard committees to choose the most precise models for their corresponding design standard code or guidelines. From the results of this study, it can be concluded that mechanics-based models proposed by Mofidi et al. (2023) and Bianco et al. (2014) were superior when compared to other existing models in most measured metrics. The models produced by regressions of data or neural networks only performed well under the statistical parameters for which they were fitted. Such models may not perform well when compared with the data that was not used to calibrate the models or when assessed by a metric that they are not calibrated with. On the other hand, for the mechanics-based models, due to the presence of the principles of shear mechanics and bonding in the development of such models, the mechanics-based models can perform to a satisfactory level with existing and incoming experimental test data and through different statistical test parameters. © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers Keywords: Near-surface mounted method; Shear strengthening; Design models; Statistical assessment; Comparative study. Abstract This study investigates the accuracy of the existing design models for shears-strengthened reinforced concrete (RC) beams with near-surface mounted (NSM) fibre-reinforce polymer (FRP) rods and laminates. Comparative studies have been conducted on the predicted shear contributions of NSM FRP materials in the strengthened beams using state-of-the-art existing design models. To assess the accuracy of these models, the predictions were compared with the experimental results on 131 test specimens from 24 studies. The results of this study can be used for standard committees to choose the most precise models for their corresponding design standard code or guidelines. From the results of this study, it can be concluded that mechanics-based models proposed by Mofidi et al. (2023) and Bianco et al. (2014) were superior when compared to other existing models in most measured metrics. The models produced by regressions of data or neural networks only performed well under the statistical parameters for which they were fitted. Such models may not perform well when compared with the data that was not used to calibrate the models or when assessed by a metric that they are not calibrated with. On the other hand, for the mechanics-based models, due to the presence of the principles of shear mechanics and bonding in the development of such models, the mechanics-based models can perform to a satisfactory level with existing and incoming experimental test data and through different statistical test parameters. © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers Keywords: Near-surface mounted method; Shear strengthening; Design models; Statistical assessment; Comparative study. © 2024 The Authors. Published by Elsevier B.V.

* Corresponding author. Tel.: +1-905-688-5550 x3401; fax: +1-905-984-4857. E-mail address: amir.mofidi@brocku.ca * Corresponding author. Tel.: +1-905-688-5550 x3401; fax: +1-905-984-4857. E-mail address: amir.mofidi@brocku.ca

2452-3216 © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers 2452-3216 © 2024 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of SMAR 2024 Organizers

Made with FlippingBook Digital Proposal Maker