Influence of concrete compressive strength on the debonding failure of externally bonded carbon fiber reinforced polymers

Garcez, Mônica Regina; Röhden, Abrahão Bernardo; Meneghetti, Leila Cristina; Gravina, Rebecca

doi:10.1007/s41024-021-00116-3

Cited by 4 publications

(4 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the past, several studies have been carried out to investigate failure due to the loss of bond between the concrete and the FRP plate in an RC beam that is strengthened with the external bonding (EB) technique [ 19 , 20 , 21 , 22 ]. Several variables influence the capacity of RC beams strengthened with CFRP, which include the reinforcement ratio, the thickness, and the modulus of elasticity of the CFRP plate as well as the compressive strength of the concrete [ 20 , 23 , 24 , 25 ]. The strengthening of structural members to enhance their capacity and service life using FRP has been proven to be an effective technique.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The results concluded that the ratio of tensile reinforcement, the ratio of the modulus of elasticity of concrete, the modulus of elasticity of the FRP plate, and the plate thickness have a significant influence on the debonding moment value [ 19 ]. Garcez conducted a beam test to assess the bond mechanism and the transfer of stresses at the CFRP/concrete interface and found that the mechanism of damage initiation and debonding propagation is dependent on the load transferring and stress redistribution after the concrete crack [ 20 ]. Yuan conducted experimental testing on CFRP-plate-reinforced concrete beams, and the results were discussed in terms of load deflection, failure modes, and crack propagation.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of CFRP Reinforcement Ratio on the Flexural Capacity and Failure Mode of Plain Concrete Prisms

Qureshi

Saleem²,

Khurram³

et al. 2022

Materials

View full text Add to dashboard Cite

The utilization of carbon-fiber-reinforced polymer (CFRP) composites as strengthening materials for structural components has become quite famous over the last couple of decades. The present experimental study was carried out to examine the effect of varied widths of externally bonded CFRP on the debonding strain of CFRP and the failure mode of plain concrete beams. Twelve plain concrete prims measuring 100 mm × 100 mm × 500 mm were cast and tested under identical loading conditions. The twelve specimens include two control prisms, i.e., without CFRP strips, and the remaining ten prisms were reinforced with CFRP strips with widths of 10 mm, 20 mm, 30 mm, 40 mm, and 50 mm, respectively, i.e., two prisms in each group. Four-point loading flexural testing was carried out, and the resulting data are presented in the form of peak load vs. midpoint displacement, load vs. concrete strain, and load vs. CFRP strain. The peak load was directly recorded from the testing machine, while the midpoint deflection was recorded through the linear variable differential transducer (LVDT) installed at the midpoint. To measure the strain, two separate strain gauges were installed at the bottom of each concrete prism, i.e., one on the concrete surface and the other on the surface of the CFRP strip. The results of this study indicate that the debonding strain is a function of CFRP strip width and that the failure patterns of beams are significantly affected by the CFRP reinforcement ratio.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Investigation of CFRP Reinforcement Ratio on the Flexural Capacity and Failure Mode of Plain Concrete Prisms

Qureshi

Saleem²,

Khurram³

et al. 2022

Materials

View full text Add to dashboard Cite

show abstract

“…Several researchers have investigated the interfacial bond performance of EB-FRPstrengthened concrete structures under hygrothermal conditions [3][4][5][6][7][8][9]. It has been observed that moisture adversely affects both the strength of the FRP itself and its interlaminar shear strength [3].…”

Section: Introductionmentioning

confidence: 99%

Bond Strength Evaluation of FRP–Concrete Interfaces Affected by Hygrothermal and Salt Attack Using Improved Meta-Learning Neural Network

Wang,

Ye,

Liu

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

Fiber-reinforced polymer (FRP) laminates are popular in the strengthening of concrete structures, but the durability of the strengthened structures is of great concern. Due to the susceptibility of the epoxy resin used for bonding and the deterioration of materials, the bond performance of the FRP–concrete interface could be degraded due to environmental exposure. This paper aimed to establish a data-driven method for bond strength prediction using existing test results. Therefore, a method composed of a Back Prorogation Net (BPNN) and Meta-learning Net was proposed, which can be used to solve the implicit regression problems in few-shot learning and can obtain the deteriorated bond strength and the impact weight of each parameter. First, the pretraining database Meta1, a database of material strength degradation, was established from the existing results and used in the meta-learning network. Then, the database Meta2 was built and used in the meta-learning network for model fine-tuning. Finally, combining all prior knowledge, not only the degradation of the FRP–concrete bond’s strength was predicted, but the respective weights of the environment parameters were also obtained. This method can accurately predict the degradation of the bond performance of FRP–concrete interfaces in complex environments, thus facilitating the further assessment of the remaining service life of FRP-reinforced structures.

show abstract

“…To attain improved lamination, it is pertinent to mention that the damaged surface layer of the concrete is removed while preparing the surface and exposing the coarse aggregates [ 17 , 18 , 19 , 20 ]. Surface treatment leads to consistency at the interface of the FRP sheet and the concrete surface, causing delayed debonding and, thus, resulting in an increased ultimate rupture strength.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis

et al. 2022

View full text Add to dashboard Cite

The corrosion of steel reinforcement necessitates regular maintenance and repair of a variety of reinforced concrete structures. Retrofitting of beams, joints, columns, and slabs frequently involves the use of fiber-reinforced polymer (FRP) laminates. In order to develop simple prediction models for calculating the interfacial bond strength (IBS) of FRP laminates on a concrete prism containing grooves, this research evaluated the nonlinear capabilities of three ensemble methods—namely, random forest (RF) regression, extreme gradient boosting (XGBoost), and Light Gradient Boosting Machine (LIGHT GBM) models—based on machine learning (ML). In the present study, the IBS was the desired variable, while the model comprised five input parameters: elastic modulus x thickness of FRP (EfTf), width of FRP plate (bf), concrete compressive strength (fc′), width of groove (bg), and depth of groove (hg). The optimal parameters for each ensemble model were selected based on trial-and-error methods. The aforementioned models were trained on 70% of the entire dataset, while the remaining data (i.e., 30%) were used for the validation of the developed models. The evaluation was conducted on the basis of reliable accuracy indices. The minimum value of correlation of determination (R2 = 0.82) was observed for the testing data of the RF regression model. In contrast, the highest (R2 = 0.942) was obtained for LIGHT GBM for the training data. Overall, the three models showed robust performance in terms of correlation and error evaluation; however, the trend of accuracy was obtained as follows: LIGHT GBM > XGBoost > RF regression. Owing to the superior performance of LIGHT GBM, it may be considered a reliable ML prediction technique for computing the bond strength of FRP laminates and concrete prisms. The performance of the models was further supplemented by comparing the slopes of regression lines between the observed and predicted values, along with error analysis (i.e., mean absolute error (MAE), and root-mean-square error (RMSE)), predicted-to-experimental ratio, and Taylor diagrams. Moreover, the SHAPASH analysis revealed that the elastic modulus x thickness of FRP and width of FRP plate are the factors most responsible for IBS in FRP.

show abstract

Influence of concrete compressive strength on the debonding failure of externally bonded carbon fiber reinforced polymers

Cited by 4 publications

References 31 publications

Investigation of CFRP Reinforcement Ratio on the Flexural Capacity and Failure Mode of Plain Concrete Prisms

Investigation of CFRP Reinforcement Ratio on the Flexural Capacity and Failure Mode of Plain Concrete Prisms

Bond Strength Evaluation of FRP–Concrete Interfaces Affected by Hygrothermal and Salt Attack Using Improved Meta-Learning Neural Network

Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis

Contact Info

Product

Resources

About