Strength of carbon fiber reinforced polymers bonded to concrete and masonry

Camli, Umit Serdar; Binici, Barış

doi:10.1016/j.conbuildmat.2006.07.003

Cited by 78 publications

(41 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, for the crack development of CFRP with a width ratio of 0.53, the crack typically starts from the top and forms a shear crack before CFRP rupture. As the width ratio increases, the failure mode changes from CFRP rupture to plate end interfacial debonding with a thin concrete layer attached to the debonded CFRP sheet [11]. Although the failure mode of specimens attached to CFRP with width ratios of 0.8 and 1 was plate end interfacial debonding, it is proven that the ultimate load is higher as stated in this study (refer Table 1).…”

Section: Load Versus Deflection Of Concrete With Various Width Ratiosmentioning

confidence: 53%

Failure Behaviour of Concrete Prisms Strengthened by Various Bond Widths of Carbon Fibre Reinforced Polymer (CFRP)

et al. 2017

View full text Add to dashboard Cite

Abstract. The use of fibre reinforced polymers (FRP) for external strengthening of concrete structures in various forms such as laminates and sheets has become moderately common. FRP is more effective as it provides a better solution in terms of properties and application. The effectiveness of the FRP strengthening system lies in the bond between concrete and FRP which is affected by various factors such as bond length of FRP, bond width, resin hardening and surface preparation. In certain cases, bond width is a major factor which ensures that the structure can be strengthened properly. This paper focuses mainly on the failure behaviour of concrete prisms strengthened by various bond width ratios of carbon Fibre Reinforced Polymer (CFRP) which are 20mm (0.27), 40mm (0.53), 60mm (0.8) and 75mm (1) respectively. A total of fifteen strengthened prisms measuring 75 mm x 75 mm x 350 mm were cast for a three-point load test. Twelve strengthened prism specimens were externally strengthened with CFRP and three specimens were designated as control. The findings show that a greater width ratio of CFRP will strengthen concrete prisms greatly and will result in different types of failure modes.

show abstract

Section: Load Versus Deflection Of Concrete With Various Width Ratiosmentioning

confidence: 53%

Failure Behaviour of Concrete Prisms Strengthened by Various Bond Widths of Carbon Fibre Reinforced Polymer (CFRP)

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Figure 6 presents the box plot and safety factors of different equations. It can be seen that the Neubauer and Rostàsy (1997), Adhikary and Mutsuyoshi (2001), De lorenzis et al (2001), JCI (2003), Dai et al (2005) and Camli and Binici (2007) generally overestimate the bond strength and are completely non-conservative. Conversely, the predictions of Tanaka (1996), Khalifa et al (1998), andYang et al (2001) are conservative.…”

Section: Modelsmentioning

confidence: 99%

“…Since the 1980s many researchers have developed various equations for predicting bond strength between FRP and concrete substrate, including van Gemert (1980), Tanaka (1996), Yoshizawa and Wu (1997), Maeda et al (1997), Neubauer and Rostasy (1997), Khalifa et al (1998), Adhikary and Mutsuyoshi (2001), Teng (2001), De Lorenzis et al (2001), Yang et al 2001, JCI (2003, Dai et al (2005), , and Camli and Binici (2007). Furthermore, the international federation for structural concrete (fib) (2001) and CNR-DT200/2004 design guidelines also present different formulae for estimating the bond strength of FRPto-concrete elements.…”

Section: Existing Bond Strength Modelsmentioning

confidence: 99%

“…Van Gemert 1980;Tanaka 1996;Yoshizawa and Wu 1997;Maeda et al 1997;Neubauer and Rostasy 1997;Khalifa et al 1998;Adhikary and Mutsuyoshi 2001;Chen and Teng 2001;De Lorenzis et al 2001;Yang et al 2001;JCI 2003;Dai et al 2005;Camli and Binici 2007). Many of these equations used to estimate the bond strength between FRP and concrete substrates are highly empirical, and their predictive abilities are limited by the corresponding data sets from which they were derived, and do not provide a reliable prediction of maximum transferable load (Yuan et al 2012;Diab and Farghal 2014;D'Antino and Pellegrino 2014).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predicting Bond Strength between FRP Plates and Concrete Sub-strate: Applications of GMDH and MNLR Approaches

Hamze‐Ziabari

Yasavoli

2017

ACT

View full text Add to dashboard Cite

Debonding of the fiber-reinforced polymer (FRP) reinforcement due to shear stresses is a very significant issue in design of concrete structures. Several experimental and theoretical investigations have been carried out to produce a relationship between the shear bond strength and the governing variables. However, existing empirical models do not provide an accurate prediction due to the complexity of the debonding process. In the present study, group method of data handling (GMDH) network as a novel machine learning approach was employed to predict the externally bond strength between FRP composites and concrete structures. The GMDH model was developed based on a reliable database including 342 experimental tests obtained from literature. The GMDH results were compared to the most common existing equations and also to the regression approaches developed in this study through statistical error parameters. Furthermore, some correction factors for four well-known equations were suggested based on regression approaches to improve their accuracy. Results indicated that the developed GMDH model outperformed the existing equations and also the developed regression-based equations in terms of both accuracy and safety aspects. Finally, parametric and sensitivity analyses were performed for further verification of the developed GMDH model in capturing the underlying physical behaviors of bond strength.

show abstract

“…Furthermore, it has been decreasing the crack width of concrete [13,14]. Due to the advantageous properties, fiber composites have been used in concrete structures [9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Strength Properties of Carbon Fiber‐Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine

Tanyıldızı

2018

Advances in Civil Engineering

View full text Add to dashboard Cite

e artificial neural network and support vector machine were used to estimate the compressive strength and flexural strength of carbon fiber-reinforced lightweight concrete with the silica fume exposed to the high temperature. Cement was replaced with three percentages of silica fumes (0%, 10%, and 20%). e carbon fibers were used in four different proportions (0, 2, 4, and 8 kg/m 3 ). e specimens of each concrete mixture were heated at 20°C, 400°C, 600°C, and 800°C. After this process, the specimens were subjected to the strength tests. e amount of cement, the amount of silica fumes, the amount of carbon fiber, the amount of aggregates, and temperature were selected as the input variables for the prediction models. e compressive and flexural strengths of the lightweight concrete were determined as the output variables. e model results were compared with the experimental results. e best results were achieved from the artificial neural network model. e accuracy of the artificial neural network model was found at 99.02% and 96.80%.

show abstract

Strength of carbon fiber reinforced polymers bonded to concrete and masonry

Cited by 78 publications

References 16 publications

Failure Behaviour of Concrete Prisms Strengthened by Various Bond Widths of Carbon Fibre Reinforced Polymer (CFRP)

Failure Behaviour of Concrete Prisms Strengthened by Various Bond Widths of Carbon Fibre Reinforced Polymer (CFRP)

Predicting Bond Strength between FRP Plates and Concrete Sub-strate: Applications of GMDH and MNLR Approaches

Prediction of the Strength Properties of Carbon Fiber‐Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine

Contact Info

Product

Resources

About