Numerical study on FRP wrapped concrete columns under compression

Sangeetha, P.; Shanmugapriya, M.

doi:10.17485/ijst/2019/v12i15/143250

Cited by 9 publications

(7 citation statements)

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“…Using the proposed ANN model, the prediction of the compressive strength of the FRP wrapped concrete column against the published experimental strength of 64 specimens [11] was carried out. After comparison between the results, it was found that the error was less than 4% and shows good agreement with the published experimental results.…”

Section: Resultsmentioning

confidence: 99%

“…The prediction of various strength parameters such as confined compressive strength and crushing strain of FRP wrapped concrete specimens using regression and ANN model found more accurate and precise [9]. The analytical behaviour of FRP wrapped concrete columns carried by researchers using ANSYS and ANN for varying parameters like shape of the column, type of fiber, number of plies, corner radius and concrete strength with the use of available published experimental results and the predicted values found effective [10,11]. The study on wrapping of the concrete columns with different GFRP sheets tested under axial compression and concluded that confined compressive strength increases with the increases in number of ply and period of curing [12].…”

Section: Introductionmentioning

confidence: 94%

“…The analytical behaviour of FRP wrapped concrete columns carried by researchers using ANSYS and ANN for varying parameters like shape of the column, type of fiber, number of plies, corner radius and concrete strength with the use of available published experimental results and the predicted values found effective [10,11]. The study on wrapping of the concrete columns with different GFRP sheets tested under axial compression and concluded that confined compressive strength increases with the increases in number of ply and period of curing [12]. Ninety-five experimental data used to predict FRP-confined circular reinforced concrete columns using soft computing methods and among the many methods, the ANN model showed the highest accuracy [13].…”

Section: Introductionmentioning

confidence: 99%

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GFRP wrapped concrete column compressive strength prediction through neural network

Sangeetha

Shanmugapriya

2020

SN Appl. Sci.

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Wrapping of fibre over the concrete columns significantly improves the compressive strength and ductility behaviour of columns. In this study the compressive strength of the Glass Fibre Reinforced Concrete (GFRP) wrapped concrete columns were studied under axial compression. The parameters varied are types of GFRP (Surface Mat, Chopped Strand Mat and Woven Roving Mat), number of plies (0, 1 ply and 3 plies) and period of curing (7, 14 and 28 days). Twenty-one standard cylindrical specimens were tested to failure under compression testing machine. The GFRP confined concrete columns increases the compressive strength by 30% for different types of fibres. The change in the number of plies from one to three improves the strength six times. The Artificial Neural Network (ANN) is an alternate tool used to accurately estimate the confined strength of the wrapped columns. The multi-layer neural network has been used with back propagation training algorithm. The predicted strength was compared with the experimental results. A good correlation was obtained between the predicted strength by ANN model and experimental values with correlation coefficient R values of 0.992, 0.999 and 0.999 for training, validation and testing data sets.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

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GFRP wrapped concrete column compressive strength prediction through neural network

Sangeetha

Shanmugapriya

2020

SN Appl. Sci.

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“…A. P Sangeetha 1 and R. Sumathi 2 2010 [2] Fiber -Wrapping using Fiber -Reinforced Plastic (FRP) shells is one of effective methods, significantly enhances the strength and ductility of concrete columns. The paper reports the behavior of the GFRP wrapped concrete columns under uniaxial compression.…”

Section: Literature Reviewmentioning

confidence: 99%

Literature Review for Experimental Behavior of Concrete under Compression Load with Steel Fiber and Ferro-Cement Partial Add Of Cement

Dubey¹

2018

IJRASET

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“…In the recent years an Artificial Neural Network (ANN) has been used to predict the behaviour of the mechanical properties of the concrete and various civil engineering structures. The compressive stress of the FRP confined and unconfined concrete column was predicted from the experimental and analytical results using ANN [7]. Previous studies [8][9][10] have developed the concrete compressive strength prediction model using ANN and Genetic Programming.…”

Section: Introductionmentioning

confidence: 99%

Prediction of mechanical strength of polypropylene fibre reinforced concrete using artificial neural network

Sangeetha¹,

Shanmugapriya²

2020

Građ materijali i konstrukcije

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The usefulness of fibre reinforced concrete (FRC) in various civil engineering applications is indisputable. Fibre reinforced concrete has been successfully used so far in construction of structures like bridges, industrial structures, concrete, architectural panels, precast products, offshore structures and many other applications. This paper presents the study on the mechanical properties of the polypropylene fibre reinforced concrete. The parameters varied in the study include volume of fibre (0%, 0.5%, 1.0%, 1.5% & 2.0%) and the curing period (7 days and 14 days). From the study it is concluded that the further increases in the volume of fibre reduces the water cement ratio. The mechanical properties of the polypropylene fibre reinforced concrete were also predicted by using Artificial Neural Network (ANN) and found to have minimal error when compared to actual experimental results.

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Numerical study on FRP wrapped concrete columns under compression

Cited by 9 publications

References 0 publications

GFRP wrapped concrete column compressive strength prediction through neural network

GFRP wrapped concrete column compressive strength prediction through neural network

Literature Review for Experimental Behavior of Concrete under Compression Load with Steel Fiber and Ferro-Cement Partial Add Of Cement

Prediction of mechanical strength of polypropylene fibre reinforced concrete using artificial neural network

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