scholarly journals Relationship between Density and Early Compressive Strength of Slurry Infiltrated Fiber Reinforced Concrete (SIFCON)

2021 ◽  
Vol 2129 (1) ◽  
pp. 012062
Author(s):  
Mustaqqim Abdul Rahim ◽  
Lim Jiann Jonq ◽  
Afizah Ayob ◽  
Shamilah Anudai Anuar ◽  
Nor Faizah Bawadi ◽  
...  
Keyword(s):  
Compressive Strength ◽  
Reinforced Concrete ◽  
Mechanical Characteristics ◽  
Steel Fiber ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Concrete Compressive Strength ◽  
Ordinary Concrete ◽  
Percentage Volume ◽  
Physical And Mechanical Characteristics

Abstract The aim of the study is to study the physical and mechanical characteristics of Slurry Infiltrated Fiber Reinforced Concrete with fiber percentage volume of 5% and lower. For the testing of physical characteristics of the concrete, density test been conducted. For the testing of mechanical characteristics, compression test used to determine strength of concrete sample. The density of Slurry Infiltrated Fiber Reinforced Concrete increased when the usage of steel fiber percentage volume increases from 1% to 5%, nevertheless when compared to density of ordinary concrete, ordinary concrete is denser. For the significant of study, the mechanical properties of Slurry Infiltrated Fiber Reinforced Concrete, compressive strength increased when the fiber content increases from 1% to 5% percentage volume.

scholarly journals Research on compressive strength of hybrid fiber reinforced concrete based on orthogonal design

2021 ◽  
Vol 261 ◽  
pp. 02019
Author(s):  
Tu-Sheng He ◽  
Meng-Qian Xie ◽  
Yang Liu ◽  
San-Yin Zhao ◽  
Zai-Bo Li
Keyword(s):  
Compressive Strength ◽  
Reinforced Concrete ◽  
Prediction Model ◽  
Steel Fiber ◽  
Volume Fraction ◽  
Polypropylene Fiber ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Concrete Compressive Strength ◽  
Hybrid Fiber

The influence of steel fiber and polypropylene fiber mixed on compressive strength of high performance concrete (HPC) was studied. The steel fiber content (0.5%, 1.0%, 1.5%, 2.0%) (volume fraction, the same below), polypropylene fiber content (0.05%, 0.1%, 0.15%, 0.2%) and length (5mm, 6.5mm, 12mm, 18mm) were studied by L16 (45) orthogonal test for 28d ages, the range analysis and variance analysis of the test results are carried out, and the prediction model of compressive strength of hybrid fiber reinforced concrete was established. The results show that: The significant influence factor of concrete compressive strength is the volume fraction of polypropylene fiber, while the length of polypropylene fiber and the volume fraction of steel fiber are not significant; the concrete compressive strength with polypropylene fiber shows negative hybrid effect; The prediction model of compressive strength of hybrid fiber reinforced concrete has high accuracy, and the average relative errors is 2.96%.

Anchorage Capacity of Headed Bars in Steel Fiber Reinforced Concrete

2021 ◽  
Author(s):  
Payal Sachdeva ◽  
A.B. Danie Roy ◽  
Naveen Kwatra
Keyword(s):  
Compressive Strength ◽  
Reinforced Concrete ◽  
Failure Modes ◽  
Steel Fiber ◽  
Fiber Reinforced Concrete ◽  
Steel Fibers ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Concrete Compressive Strength ◽  
Pull Out

Headed bars (HB) with different head shapes (Square, Circular, and Rectangular) and bar diameters (db: 16, 20, and 25 mm) embedded in steel fiber reinforced concrete have been subjected to pull-out test. The influence of head shapes, concrete compressive strength (M20 and M40), db, and steel fibers (0, 0.5, 1, and 1.5%) on the anchorage capacity of HB have been evaluated. Numerical model for improving the anchorage capacity of HB has also been proposed. Results have revealed that the anchorage capacity of HB increases with the increase in concrete compressive strength, db, and steel fibers, which have been validated by non-linear regression analysis using dummy variables. Two failure modes namely, steel and concrete-blowout have been observed and the prevailing mode of failure is steel failure. Based on load-deflection curves and derived descriptive equations, it is observed that the circular HB has displayed the highest peak load.

Application Study on the Steel Fiber Reinforced Concrete

2012 ◽  
Vol 204-208 ◽  
pp. 3740-3743
Author(s):  
Wen Cui ◽  
Qin Luo
Keyword(s):  
Tensile Strength ◽  
Reinforced Concrete ◽  
Steel Fiber ◽  
Fiber Reinforced Concrete ◽  
Mix Design ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Application Study ◽  
Ordinary Concrete

Mix design of the steel fiber reinforced concrete was analyzed based on the engineering conditions. It was indicated by comparing with the strength values of steel fiber reinforced concrete (CF40) and ordinary concrete (C40) that the tensile strength of the steel fiber reinforced concrete increased about 70%, the compressive strength increased about 10%, the initial cracking strength increased about 150%.The reasonable construction technologies were used in mixing, transportation, pouring, vibrating and curing of the steel fiber reinforced concrete in order to ensure quality of the construction.

Research on Material Fatigue Test of Steel Fiber Reinforced Concrete under Tension and Compression Loading

2017 ◽  
Vol 730 ◽  
pp. 353-357
Author(s):  
Meng Meng Guo ◽  
Zhong Ren Feng ◽  
Yang Chen
Keyword(s):  
Reinforced Concrete ◽  
Fatigue Strength ◽  
Steel Fiber ◽  
Testing Machine ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Compression Loading ◽  
Ordinary Concrete ◽  
Tension And Compression

Using the material testing machine of electro-hydraulic servo fatigue tests had been carried out on ordinary concrete and steel fiber reinforced concrete. The fatigue life, strength, stress and strain had been measured under tension and compression loading. The variation of fatigue was analyzed based on the test results. Having regression analysis, obtained the fatigue strength. Mean-while, the fatigue strain-life curves of ordinary concrete and steel fiber reinforced concrete had been made after data processing. The results had been showed that the fatigue property of steel fiber reinforced concrete was significantly higher than that of ordinary concrete. And the fatigue strength increased about 32.6% compared with ordinary concrete. The tensile and compressive fatigue strain were slightly smaller than that of ordinary concrete.

scholarly journals Development of prediction model of steel fiber-reinforced concrete compressive strength using random forest algorithm combined with hyperparameter tuning and k-fold cross-validation

2021 ◽  
Vol 5 (7 (113)) ◽  
pp. 59-65
Author(s):  
Nadia Moneem Al-Abdaly ◽  
Salwa R. Al-Taai ◽  
Hamza Imran ◽  
Majed Ibrahim
Keyword(s):  
Compressive Strength ◽  
Reinforced Concrete ◽  
Random Forest ◽  
Cross Validation ◽  
Steel Fiber ◽  
Random Forest Model ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Steel Fiber Reinforced Concrete ◽  
Forest Model

Because of the incorporation of discontinuous fibers, steel fiber-reinforced concrete (SFRC) outperforms regular concrete. However, due to its complexity and limited available data, the development of SFRC strength prediction techniques is still in its infancy when compared to that of standard concrete. In this paper, the compressive strength of steel fiber-reinforced concrete was predicted from different variables using the Random forest model. Case studies of 133 samples were used for this aim. To design and validate the models, we generated training and testing datasets. The proposed models were developed using ten important material parameters for steel fiber-reinforced concrete characterization. To minimize training and testing split bias, the approach used in this study was validated using the 10-fold Cross-Validation procedure. To determine the optimal hyperparameters for the Random Forest algorithm, the Grid Search Cross-Validation approach was utilized. The root mean square error (RMSE), coefficient of determination (R2), and mean absolute error (MAE) between measured and estimated values were used to validate and compare the models. The prediction performance with RMSE=5.66, R2=0.88 and MAE=3.80 for the Random forest model. Compared with the traditional linear regression model, the outcomes showed that the Random forest model is able to produce enhanced predictive results of the compressive strength of steel fiber-reinforced concrete. The findings show that hyperparameter tuning with grid search and cross-validation is an efficient way to find the optimal parameters for the RF method. Also, RF produces good results and gives an alternate way for anticipating the compressive strength of SFRC

Optimization of Formula and Technological Parameters of Fiber-Reinforced Concrete Manufacturing

2019 ◽  
Vol 974 ◽  
pp. 14-19
Author(s):  
V.B. Babaev ◽  
Natalia I. Alfimova ◽  
Victoria V. Nelubova ◽  
L.N. Botsman
Keyword(s):  
Reinforced Concrete ◽  
Building Materials ◽  
Mechanical Characteristics ◽  
Basalt Fiber ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Technological Parameters ◽  
Equal Distribution ◽  
Concrete Matrix ◽  
Physical And Mechanical Characteristics

The development of modern construction technologies requires the development of efficient building materials with a unique property set and the improvement of existing ones. Fiber-reinforced concrete is one of the types of effective composites that meets the specified requirements, ensuring the structures operation reliability. The difficulty of achieving its maximum physical and mechanical characteristics is due to the complexity of the fiber equal distribution in the concrete matrix. Studies aimed at the optimization of the formulation and technological manufacture parameters of fiber-reinforced fine concrete, have revealed that from the perspective of obtaining products with optimal physical and mechanical characteristics, it is most feasible to introduce the agglutinant sand (cement + sand) of pre-prepared suspension from fibers, water of mixing and naphthalene formaldehyde plasticizer. Optimal dosages of input products were also revealed (basalt fiber, cement, plasticizer), which made it possible to create mixes of fine concrete and products based on it with class B25-B60 for compressive strength and Btb2,8-Btb6,0 for bending, frost resistance not less than F300.

scholarly journals Revised Rebound Hammer and Pull-Out Test Strength Curves for Fiber-Reinforced Concrete

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Peng Deng ◽  
Yan Sun ◽  
Yan Liu ◽  
Xiaoxiao Song
Keyword(s):  
Compressive Strength ◽  
Reinforced Concrete ◽  
Polypropylene Fiber ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Hybrid Fiber ◽  
Rebound Hammer ◽  
Ordinary Concrete ◽  
Pull Out ◽  
Strength Tests

Rebound hammer tests and postinstalled pull-out tests are commonly used for evaluating the compressive strength of ordinary concrete, and the strength of concrete is estimated by strength curves. However, using these strength curves to predict the compressive strength of carbon fiber-reinforced concrete (CFRC), polypropylene fiber-reinforced concrete (PFRC), and carbon-polypropylene hybrid fiber-reinforced concrete (HFRC) may lead to considerable uncertainties. Therefore, this study revises the strength curves derived from rebound hammer tests and postinstalled pull-out tests for ordinary concrete. 480 specimens of fiber-reinforced concrete (FRC) of six strength grades are examined. Standard cube compressive strength tests are used as a reference, and the results of various regression models are compared. The linear model is determined as the most accurate model for postinstalled pull-out tests, whereas the power model is the most accurate for rebound hammer tests. The proposed strength curves have important applications for FRC engineering of the postinstalled pull-out tests and rebound hammer tests.

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