A review on retrofitting of reinforced concrete elements using FRP

Durgadevi, S.; Karthikeyan, Subramanian; Lavanya, N.; Kavitha, C.

doi:10.1016/j.matpr.2020.03.148

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…In contrast, GFRP and BFRP have a higher elongation at break and lower price, but their mechanical, corrosive, and creep properties are relatively poor, especially exposed to an alkaline environment [ 26 , 27 , 28 ]. Moreover, CFRP is highly recommended for higher flexure strength of RC beams, improved confinement, and lower deflection compared to GFRP and BFRP [ 17 , 29 ]. The performance of GFRP beams improves with the addition of steel bars.…”

Section: Introductionmentioning

confidence: 99%

Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models

et al. 2022

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An accurate calculation of the flexural capacity of flexural members is vital for the safe and economical design of FRP reinforced structures. The existing empirical models are not accurately calculating the flexural capacity of beams and columns. This study investigated the estimation of the flexural capacity of beams using non-linear capabilities of two Artificial Intelligence (AI) models, namely Artificial neural network (ANN) and Random Forest (RF) Regression. The models were trained using optimized hyperparameters obtained from the trial-and-error method. The coefficient of correlation (R), Mean Absolute Error, and Root Mean Square Error (RMSE) were observed as 0.99, 5.67 kN-m, and 7.37 kN-m, for ANN, while 0.97, 7.63 kN-m, and 8.02 kN-m for RF regression model, respectively. Both models showed close agreement between experimental and predicted results; however, the ANN model showed superior accuracy and flexural strength performance. The parametric and sensitivity analysis of the ANN models showed that an increase in bottom reinforcement, width and depth of the beam, and increase in compressive strength increased the bending moment capacity of the beam, which shows the predictions by the model are corroborated with the literature. The sensitivity analysis showed that variation in bottom flexural reinforcement is the most influential parameter in yielding flexural capacity, followed by the overall depth and width of the beam. The change in elastic modulus and ultimate strength of FRP manifested the least importance in contributing flexural capacity.

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Section: Introductionmentioning

confidence: 99%

Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models

et al. 2022

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“…In recent years, following the deterioration of building structures and the need for retrofitting structures to satisfy the strict design requirements, much emphasis has been placed on repairing buildings [1][2][3]. One of the methods that can prevent the loss of materials as much as possible and reduce construction debris is retrofitting of buildings [4][5][6]. Increasing the strength of the structure is very important during the retrofitting because this will increase the useful life of the structure and residents will feel more secure [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Retrofitting of RC Beams using Reinforced Self-compacting Concrete Jackets Containing Aluminum Oxide Nanoparticles

Faez

Sayari

Manei

2021

IJE

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The purpose of this study was to introduce a proposed method to retrofit RC beams. For this purpose self-compacting concrete containing aluminium oxide nanoparticles (ANPs) and silica fume (SF) was used in RC jackets. The laboratory experiment and numerical simulation were used to investigate the behavior of the beams. The experimental variables were included the amount of ANPs used in the jackets (0 and 2.5% by weight of cement) and the surface interaction between beam and jacket (75% and 100% of the side and bottom surfaces of the beam). Five RC beams with a length of 1.4 m and the same dimensions were made and subjected to four-point loading. After completing the laboratory steps, RC beams were simulated according to laboratory conditions using the finite element method and ABAQUS software. After verifying the used method, parametric analysis was performed and parameters such as beam span length (1.5, 3, 4.5 m), concrete jacket thickness (4, 8, and 12 cm), and the diameter of the bars used in the jacket (8, 10 and 12 mm) were examined. The results showed that the use of RC jackets containing ANPs, depending on the jacket thickness, the diameter of the bars used in the jacket, and the length of the beam span increased the beams flexural strength by 155 to 447%. It was observed that the crushing of concrete without nanoparticles compared to concrete contain nanoparticles is more severe because nanoparticles affected the concrete matrix and reduced its crushing in RC jackets.

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“…Composites are used for aerospace [1], automotive [2], biomedical [3] applications for structural components. The usage of carbon fiber or glass fiber composites for concrete structures is mainly for rehabilitating buildings or structures [4][5]. Their use in new constructions is not yet widespread.…”

Section: Introductionmentioning

confidence: 99%

Alfa Natural Fiber Composite Reinforcement for Concrete Beams

Helaili¹,

Chafra²,

Chevalier³

2021

cea

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Lightweight, corrosion-resistant, and longer-lasting composite materials are increasingly used as primary load-bearing materials in structures' design. The cost of rehabilitating structures is lower than that of demolishing and rebuilding them again. Therefore, economical, and eco-friendly materials could extend the life of the structures and reduce the carbon di-oxide footprint on the environment. The purpose of this paper is to present a composite hollow body that can be inserted in reinforced concrete beams. The priority was to use more economical, biodegradable, and recyclable local natural fibers. The goal is to get lighter but stronger beams. The main innovation on this work is the usage of a composite made from natural fiber. A 3D finite element model of the 5 m span beam is developed to see in detail the beam's behavior and the composite reinforcement behavior. A classical reinforced concrete beam is compared to composite shells reinforced one. As a result, the beam is lightened, the deformation is relatively reduced, the traction in concrete is reduced, and the stress in steel bars is increased but remains far from the steel's elastic limit. An experimental work was done based on 40 mm x 40mm x160 mm beams to verify the correlation of the finite element model parameters with experimental results. The results show a good correlation. The weight of the beam 5 m span beam is reduced by 26.65% without affecting its behavior. For the reinforced and non-reinforced 5 m span beams, at a similar deflexion of nearly 0.7 mm, similar stress in concrete of about 2.3 MPa and similar stress in steel bars of about 10 to 13 MPa, the maximal stress in the composite is equal to 0.460 MPa which is insignificant compared to the composite failure stress, which is about 229 MPa. The composite has a long-life and can support the efforts if the beam must be rehabilitated, for example. Consequently, lightened beams can be used in reinforced concrete structures made of non-lightened elements and have the same structural behavior.

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A review on retrofitting of reinforced concrete elements using FRP

Cited by 7 publications

References 10 publications

Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models

Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models

Retrofitting of RC Beams using Reinforced Self-compacting Concrete Jackets Containing Aluminum Oxide Nanoparticles

Alfa Natural Fiber Composite Reinforcement for Concrete Beams

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