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 …

[HTML][HTML] Prediction of FRCM–concrete bond strength with machine learning approach

A Kumar, HC Arora, K Kumar, MA Mohammed… - Sustainability, 2022 - mdpi.com
Fibre-reinforced cement mortar (FRCM) has been widely utilised for the repair and
restoration of building structures. The bond strength between FRCM and concrete typically …

An efficient improved gradient boosting for strain prediction in near-surface mounted fiber-reinforced polymer strengthened reinforced concrete beam

A Khatir, R Capozucca, S Khatir, E Magagnini… - Frontiers of structural …, 2024 - Springer
Abstract The Near-Surface Mounted (NSM) strengthening technique has emerged as a
promising alternative to traditional strengthening methods in recent years. Over the past two …

An Extreme Gradient Boosting approach to estimate the shear strength of FRP reinforced concrete beams

HA Le, DA Le, TT Le, HP Le, TH Le, HGT Hoang… - Structures, 2022 - Elsevier
Although fiber-reinforced polymer (FRP) bars have gained much attention recently, their
material characteristics, particularly the elastic modulus, are markedly different from …

Metaheuristic optimization of random forest for predicting punch shear strength of FRP-reinforced concrete beams

P Yang, C Li, Y Qiu, S Huang, J Zhou - Materials, 2023 - mdpi.com
Predicting the punching shear strength (PSS) of fiber-reinforced polymer reinforced concrete
(FRP-RC) beams is a critical task in the design and assessment of reinforced concrete …

Efficiency of hybrid algorithms for estimating the shear strength of deep reinforced concrete beams

MS Barkhordari, DC Feng… - Periodica Polytechnica …, 2022 - pp.bme.hu
Earthquakes occurred in recent years have highlighted the need to examine the strength of
reinforced concrete (RC) members. RC beams are one of the elements of reinforced …

Grey Wolf Optimizer‐Based ANNs to Predict the Compressive Strength of Self‐Compacting Concrete

A Andalib, B Aminnejad, A Lork - … Intelligence and Soft …, 2022 - Wiley Online Library
Ever since their presentation in the late 80s, self‐compacting concrete (SCC) has been well
received by researchers. SCC can flow under their weight and exhibit high workability …

Shear strength prediction of concrete beams reinforced with FRP bars using novel hybrid BR-ANN model

TH Nguyen, XB Nguyen, VH Nguyen… - Asian Journal of Civil …, 2024 - Springer
Shear strength is a very important parameter in designing of reinforced concrete beams or
concrete beams reinforced with fiber-reinforced polymer (FRP) bars. So far, numerous …

Shear strength model of FRP-reinforced concrete beams without shear reinforcement

NH Dinh, YS Roh, GT Truong - Structures, 2024 - Elsevier
The current design codes for evaluating the shear strength of concrete beams reinforced
with fiber-reinforced polymer (FRP) bars predominantly rely on a semi-empirical approach …

Machine Learning Models in Prediction of Strength Parameters of FRP‐Wrapped RC Beams

A Kumar, HC Arora, NR Kapoor… - … Intelligence, Big Data …, 2023 - Wiley Online Library
The corrosion of reinforced concrete (RC) structures is of increasing concern across the
world. Repair, restoration, replacement, and the construction of new buildings all necessitate …