Statistical methods of investigation on the compressive strength of high-performance steel fiber reinforced concrete

Ramadoss, P.; Nagamani, K.

doi:10.12989/cac.2012.9.2.153

Cited by 9 publications

(7 citation statements)

References 7 publications

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“…Several researchers, Maruthachalam [19] and Ramadoss and Nagamani [22]- [23] have used simple linear models and developed statistical empirical expressions/ models for the prediction of strength of high performance fiber reinforced concrete (HPFRC); and the influence of fiber content in terms of fiber reinforcing index on the flexural and splitting tensile strengths of HPFRC have been determined. The fiber factor is a simple way to evaluate the effect of fiber content and length on a matrix's mechanical properties after the fibers have been introduced into the matrix [24].…”

Section: Predictive Empirical Modelsmentioning

confidence: 99%

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Experimental and Predictive Mechanical Strength of Fiber Reinforced Cementitious Matrix (Frcm)

Sakthivel¹

2014

geomate

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Fiber Reinforced Cementitious Matrix (FRCM) are sustainable building materials as it uses lesser quantities of natural resources as raw materials for production, when compared to conventional concrete. This study is an attempt to explore the possibility of using crimped mild steel (MS) fibers (12.5 mm length) as reinforcement in cementitious matrix, with sand-cement and water-cement ratio in line with the ACI Codes. From the experimental results, it was found that when the percentage of MS fibers is increased in cement-based mortar from 0.5% to 2.5% of volume of specimens (with 0.5% interval), there is a corresponding increase in the cylinder compressive strength and splitting-tensile strength at 7 and 28 days, and flexural strength at 28 days. There was an increase in compressive strength of 74%, splitting-tensile strength of 38% and flexural strength of 35% at 28 days, when MS fibers of 2.5% was used, when compared to control mortar specimens (with no fibers). Also, the predictive strength models were developed from the experimental data using statistical regression analysis. It was observed that the experimental results of FRCM highly correlate with the predicted values, with minimum prediction error.

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Section: Predictive Empirical Modelsmentioning

confidence: 99%

“…In order to calculate the fiber reinforcing index (RI) (Equation 1), the formula suggested by several authors, Dawood and Ramli [17], Ramadoss and Nagamani [22]- [23], Li et al [24]; Chakraborthy et al [25] have been consolidated and given in "Eq.…”

Section: Fiber Reinforcing Indexmentioning

confidence: 99%

Experimental and Predictive Mechanical Strength of Fiber Reinforced Cementitious Matrix (Frcm)

Sakthivel¹

2014

geomate

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“…Based on the test data, using regression analysis, empirical expression to predict 28-day tensile strength of HSFRC in terms of fiber reinforcing index was developed. P Ramadoss & K Nagamani [14] have investigated the compressive strength of high-performance steel fiber reinforced concrete with a volume fraction (V f = 0.0, 0.5, 1.0and 1.5%) with fiber aspect ratios of 80 and 53 with incorporation of silica fume ranges from 5 to 15% as cementitious material. Different (w/cm) rations from 0.25 to 0.4.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Mechanical Performance of High Performance Hybrid Fiber Reinforced Concrete Containing Micro Silica

Prabath¹,

Ramadoss²

2022

cea

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In the extended use of concrete in military applications, runway pavements and infrastructures, concrete is subjected to heavy impact loads that vary both in velocity and intensity. The addition of fibers in high performance concrete (HPC) can overcome its shortcomings such as brittleness, high shrinkage and less resistance to impact and also improve the ductile behavior and energy absorption capacity. In this study, development on strengthening of HPC using steel and Polypropylene fibers was focused. Moreover, an inclusion of volume fractions of both steel and polypropylene fibers, leads to an increase in the mechanical properties of concrete matrix. The present study represents the adding steel and Polypropylene fibres at 0.5, 1.0, 1.5, and 0.25, 0.5, 1% by volume of concrete, respectively. A concrete mix has been designed to achieve the M60 grade concrete, mixes proportioned for FRC to determine the compressive strength, split tensile strength and flexural strength of high performance hybrid fiber reinforced concrete at 28 days. The experimental results showed that the use of hybrid fibers with 1.5% steel and 1% Polypropylene fiber in HPC concrete has improved the strength of the concrete by 36% and 25.1% HPC with single fibers. The statistical tool was formulated to predict the strength properties of fiber reinforced concrete (i.e., compressive, flexural and split tensile strengths). The response surface method (RSM) was used to analyze the data and develop a regression equation. RSM was able to predict the experimentally tested values within an acceptable range.

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“…High performance concrete (HPC) and ultra-high performance concrete (UHPC) are widely used in construction industry. The intrinsic brittle nature of HSC/ HPC/ UHPC represents a limitation for its use, which can overcome by addition of discrete steel fibers in the concrete matrix [9,12,14,[26][27][28][29]. The addition of steel fibers in HPC/ HSC enhances the mechanical properties of concrete at normal and elevated temperatures, and significantly improves the ductility and toughness of concrete [14,17,22,23,26,28,29,31].…”

Section: Introductionmentioning

confidence: 99%

“…The intrinsic brittle nature of HSC/ HPC/ UHPC represents a limitation for its use, which can overcome by addition of discrete steel fibers in the concrete matrix [9,12,14,[26][27][28][29]. The addition of steel fibers in HPC/ HSC enhances the mechanical properties of concrete at normal and elevated temperatures, and significantly improves the ductility and toughness of concrete [14,17,22,23,26,28,29,31]. HPC contains supplementary cementitious materials (SCM), which enhances the strength and improves the durability of the matrix and also has financial and environmental benefits [9,12,29,31].…”

Section: Introductionmentioning

confidence: 99%

Engineering Properties and Prediction of Strength of High Performance Fibre Reinforced Concrete using Artificial Neural Networks

Ramadoss

Prabath

2021

EJSE

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This paper presents the experimental and numerical studies on high performance fiber concrete (HPFRC) with water-cementitious materials (w/cm) ratios of 0.4- 0.3, steel fiber volume fraction (Vf) varying from 0- 1.5%, polypropylene fiber volume fraction varying from 0- 1% and silica fume replacement at 10% and 15%. Experimental results showed high improvements in 28 day cylinder compressive strength and flex-ural strength of steel fiber reinforced concrete at fiber volume fraction of 1.5%; for polypropylene (PP) FRC improvement in compressive and flexural strengths are marginal and moderate, respectively. Statistical models developed for compressive strength ratios and flexural strength ratios of HPSFRC indicate the prediction ca-pabilities of the models. Due to the complex mix proportions of HPSFRC and the non-linear relationship be-tween the concrete mix proportions and properties, research on HPSFRC has been empirical and no models with reliable predictive capabilities for its behavior have been developed. Based on the large data collected for HPSFRC mixes, a trained artificial neural network (ANN) model which adopts a back propagation algorithm to predict 28-day compressive strength of HPSFRC mixes was employed. This paper describes the comparison of the experimental results obtained for various mixes. Multiple linear regression (MLR) model with R2 = 0.78 was also developed for the prediction of compressive strength of HPSFRC mixes. On validation of the data sets by NNs, the error range is within 2% of the actual values. ANN models give the significant degree of ac-curacy compared to MLR model, and can be easily used to estimate the strength of concrete mixes.

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Statistical methods of investigation on the compressive strength of high-performance steel fiber reinforced concrete

Cited by 9 publications

References 7 publications

Experimental and Predictive Mechanical Strength of Fiber Reinforced Cementitious Matrix (Frcm)

Experimental and Predictive Mechanical Strength of Fiber Reinforced Cementitious Matrix (Frcm)

Evaluation of Mechanical Performance of High Performance Hybrid Fiber Reinforced Concrete Containing Micro Silica

Engineering Properties and Prediction of Strength of High Performance Fibre Reinforced Concrete using Artificial Neural Networks

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