Shear capacity prediction of FRP-RC beams using single and ensenble ExPlainable Machine learning models

TG Wakjira, A Al-Hamrani, U Ebead, W Alnahhal - Composite Structures, 2022 - Elsevier
Corrosion in steel reinforcement is a central issue behind the severe deterioration of existing
reinforced concrete (RC) structures. Nowadays, fiber-reinforced polymer (FRP) is …

[HTML][HTML] Data-driven prediction models for total shear strength of reinforced concrete beams with fiber reinforced polymers using an evolutionary machine learning …

AT Anvari, S Babanajad, AH Gandomi - Engineering Structures, 2023 - Elsevier
Abstract The strength of Reinforced Concrete (RC) structural elements may need to be
improved due to building usage changes or damages that occurred after exposure to …

Shear strength prediction of FRP-strengthened concrete beams using interpretable machine learning

C Wang, X Zou, LH Sneed, F Zhang, K Zheng… - … and Building Materials, 2023 - Elsevier
This study identified the factors affecting the contribution of externally bonded fiber
reinforced polymer (FRP) composite (V f) to the shear strength of reinforced concrete (RC) …

Shear capacity estimation of FRP-reinforced concrete beams using computational intelligence

H Naderpour, M Haji, M Mirrashid - Structures, 2020 - Elsevier
Abstract Fibre Reinforced Polymer (FRP) bars have great potential for the strengthening of
the existing buildings. They also can be used as a suitable replacement for steel bars …

[HTML][HTML] Novel soft computing hybrid model for predicting shear strength and failure mode of SFRC beams with superior accuracy

WB Chaabene, ML Nehdi - Composites Part C: Open Access, 2020 - Elsevier
The ability of steel fibers to enhance the shear strength and post-cracking behavior of plain
concrete stimulated remarkable increase in using steel fiber-reinforced concrete (SFRC) in …

Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models

JS Chou, TPT Pham, TK Nguyen, AD Pham, NT Ngo - Soft Computing, 2020 - Springer
The shear strength of reinforced concrete (RC) beams is critical in the design of structural
members. Developing an effective mathematical method for accurately estimating shear …

Machine learning models development for shear strength prediction of reinforced concrete beam: a comparative study

ZM Yaseen - Scientific Reports, 2023 - nature.com
Fiber reinforced polymer (FPR) bars have been widely used as a substitutional material of
steel reinforcement in reinforced concrete elements in corrosion areas. Shear resistance of …

Prediction of FRP shear contribution for wrapped shear deficient RC beams using adaptive neuro-fuzzy inference system (ANFIS)

S Kar, AR Pandit, KC Biswal - Structures, 2020 - Elsevier
This study aims to predict the shear contribution of fiber-reinforced polymers (FRP) for the
wrapped reinforced concrete (RC) beams using an adaptive neuro-fuzzy inference system …

GMDH-based prediction of shear strength of FRP-RC beams with and without stirrups

A Kaveh, T Bakhshpoori… - Computers and Concrete …, 2018 - dbpia.co.kr
In the present study, group method of data handling networks (GMDH) are adopted and
evaluated for shear strength prediction of both FRP-reinforced concrete members with and …

Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams

T Shafighfard, F Kazemi, F Bagherzadeh… - … ‐Aided Civil and …, 2024 - Wiley Online Library
One of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the
ability to anticipate their flexural response. With a comprehensive grid search, several …