Efficiency of Supplementary Cementitious Materials and Natural Fiber on Mechanical Performance of Concrete

Arshad, Sohaib; Sharif, Muhammad Burhan; Hassan, Muhammad; Khan, Mehran; Zhang, Jiaolong

doi:10.1007/s13369-020-04769-z

Cited by 62 publications

(38 citation statements)

References 32 publications

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“…Fibre addition is thought to overcome some of these limitations due to their beneficial influence on the mechanical properties of hardened mortar, such as impact resistance, and splitting tensile and flexural strengths [ 3 , 4 , 5 , 6 , 7 ]. Additionally, the improvement of tensile strength, flexural toughness and energy absorption capacity due to fibre addition, as far as the mechanics of cracking propagation are concerned, have been confirmed in the case of the most popular cementitious material—concrete—in numerous experimental [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ] and numerical [ 23 , 24 , 25 , 26 , 27 ] investigations. The latest research programmes in that area are focused mostly on subjects concerning newly developed materials [ 8 , 10 , 20 ], the ecological impact of building materials [ 19 , 22 ] or less typical performance tests [ 18 , 21 ].…”

Section: Introductionmentioning

confidence: 90%

Flexural Behaviour of Cementitious Mortars with the Addition of Basalt Fibres

et al. 2021

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The results of flexural tests of basalt fibre-reinforced cementitious mortars in terms of flexural strength and the occurrence of the bridging effect are summarised. Mixture proportions and curing conditions were altered for various series. The main parameters concerning mixture proportions were water to cement ratio (w/c), micro-silica and plasticiser addition and fibre dosage (1%, 3% and 6.2% by binder’s mass). Various curing conditions were defined by different temperatures, humidity and time. The influence of the amount of water inside the pores of the hardened cementitious matrix on the flexural strength values, as far as the impact of the alkaline environment on basalt fibres’ performance is concerned, was underlined. The designation of flexural strength and the analysis of post-critical deformations were also performed on the reference series without fibres and with the addition of more common polypropylene fibres. The bridging effect was observed only for the basalt fibre-reinforced mortar specimens with a relatively low amount of cement and high w/c ratio, especially after a short time of hardening. For the lowest value of w/c ratio (equalling 0.5), the bridging effect did not occur, but flexural strength was higher than in the case of non-reinforced specimens. Comparing mortars with the addition of basalt and polypropylene fibres, the former demonstrated higher values of flexural strength (assuming the same percentage dosage by the mass of the binder). Nevertheless, the bridging effect in that case was obtained only for polypropylene fibres.

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Section: Introductionmentioning

confidence: 90%

Flexural Behaviour of Cementitious Mortars with the Addition of Basalt Fibres

et al. 2021

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“…CO 2 emissions from industry, transportation, and services, and nitrogen and methane oxides from agriculture are significant greenhouse gases (GHGs) [ 1 ]. Worldwide worries about the environmental, economic, and social consequences of GHG emissions such as CO 2 have prompted the growth and deployment of a variety of CO 2 emission mitigation technologies and initiatives [ 2 , 3 , 4 , 5 , 6 , 7 ]. At this time, environmental sustainability has developed as a global objective for social interests [ 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Experimental and Modeling of Fly Ash-Based Concrete

et al. 2022

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The application of supplementary cementitious materials (SCMs) in concrete has been reported as the sustainable approach toward the appropriate development. This research aims to compare the result of compressive strength (C-S) obtained from the experimental method and results estimated by employing the various modeling techniques for the fly-ash-based concrete. Although this study covers two aspects, an experimental approach and modeling techniques for predictions, the emphasis of this research is on the application of modeling methods. The physical and chemical properties of the cement and fly ash, water absorption and specific gravity of the aggregate used, surface area of the cement, and gradation of the aggregate were analyzed in the laboratory. The four predictive machine learning (PML) algorithms, such as decision tree (DT), multi-linear perceptron (MLP), random forest (RF), and bagging regressor (BR), were investigated to anticipate the C-S of concrete. Results reveal that the RF model was observed more exact in investigating the C-S of concrete containing fly ash (FA), as opposed to other employed PML techniques. The high R2 value (0.96) for the RF model indicates the high precision level for forecasting the required output as compared to DT, MLP, and BR model R2 results equal 0.88, 0.90, and 0.93, respectively. The statistical results and cross-validation (C-V) method also confirm the high predictive accuracy of the RF model. The highest contribution level of the cement towards the prediction was also reported in the sensitivity analysis and showed a 31.24% contribution. These PML methods can be effectively employed to anticipate the mechanical properties of concretes.

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“…Variables for UHSC include the cement content, the water content, the additive material content, the fiber content (e.g., steel fibers), the content and type of admixtures, and aggregates content and type (e.g., superplasticizer) [ 5 , 6 , 7 ]. The addition of dispersed short-discrete fibers to concrete increased crack resistance and improved mechanical characteristics [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 ]. Steel fibers are employed to increase the toughness and post-cracking behavior of the cementitious material [ 17 , 18 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

Compressive Strength Evaluation of Ultra-High-Strength Concrete by Machine Learning

et al. 2022

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In civil engineering, ultra-high-strength concrete (UHSC) is a useful and efficient building material. To save money and time in the construction sector, soft computing approaches have been used to estimate concrete properties. As a result, the current work used sophisticated soft computing techniques to estimate the compressive strength of UHSC. In this study, XGBoost, AdaBoost, and Bagging were the employed soft computing techniques. The variables taken into account included cement content, fly ash, silica fume and silicate content, sand and water content, superplasticizer content, steel fiber, steel fiber aspect ratio, and curing time. The algorithm performance was evaluated using statistical metrics, such as the mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2). The model’s performance was then evaluated statistically. The XGBoost soft computing technique, with a higher R2 (0.90) and low errors, was more accurate than the other algorithms, which had a lower R2. The compressive strength of UHSC can be predicted using the XGBoost soft computing technique. The SHapley Additive exPlanations (SHAP) analysis showed that curing time had the highest positive influence on UHSC compressive strength. Thus, scholars will be able to quickly and effectively determine the compressive strength of UHSC using this study’s findings.

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Efficiency of Supplementary Cementitious Materials and Natural Fiber on Mechanical Performance of Concrete

Cited by 62 publications

References 32 publications

Flexural Behaviour of Cementitious Mortars with the Addition of Basalt Fibres

Flexural Behaviour of Cementitious Mortars with the Addition of Basalt Fibres

Comparative Study of Experimental and Modeling of Fly Ash-Based Concrete

Compressive Strength Evaluation of Ultra-High-Strength Concrete by Machine Learning

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