Mechanical properties of roller-compacted concrete pavement containing recycled brick aggregates and silica fume

Tavakoli, Davoud; Fakharian, Pouyan; Brito, Jorge de

doi:10.1080/14680629.2021.1924236

Cited by 17 publications

(2 citation statements)

References 67 publications

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“…One such type of concrete with less water-cement ratio in the range of 0.20-0.45 and better performance is roller compacted concrete (RCC). It is a type of concrete wherein the compaction is achieved by impact of roller is called as roller compacted concrete (RCC) [7,21].…”

Section: Introductionmentioning

confidence: 99%

Prediction of compressive strength of roller compacted concrete using regression analysis and artificial neural networks

Abhilash

P.V.V

Tharani

2021

Innov. Infrastruct. Solut.

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The compressive strength is most reliable parameter to evaluate the ability of concrete in resisting compression. The paper presents a study on prediction of the compressive strength of roller compacted concrete using multiple regression analysis (MRA) and artificial neural networks (ANN). The compressive strength of roller compacted concrete was obtained experimentally at 3, 7 and 28 days of curing. The samples were prepared by varying the percentage of cement and superplasticizer. The data were organized in three different groups randomly using R statistical software. The models were executed with cement content, coarse and fine aggregate, superplasticizer content, water content and days of aging as input parameters that were used to predict compressive strength which is the output parameter. The analysis was performed using multiple regression and artificial neural networks methodology. Statistical measures like root-mean-square error (RMSE), mean absolute error (MAE) and coefficient of determination are used to assess the performance of models. The determination coefficient from multiple regression analysis is found to be 0.975 and 0.886 for testing and validating the data correspondingly, whereas the determination coefficient from artificial neural network analysis is found to be 0.9 for both testing and validating the data. The results obtained from ANN are highly accurate because of its own topology.

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Section: Introductionmentioning

confidence: 99%

Prediction of compressive strength of roller compacted concrete using regression analysis and artificial neural networks

Abhilash

P.V.V

Tharani

2021

Innov. Infrastruct. Solut.

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“…The design was used to find the optimum amount of silica fume in concrete pavements and to use it in the brick mix. The outcomes demonstrated that there was no significant damage to the concrete pavement by substituting sand through 25% of the waste bricks, while amounts above 50% affected the concrete's performance [6]. Guo's team upgraded the performance of recycled aggregate concrete in terms of the mixing process based on the high water absorption of recycled aggregates, proposing a premixed cement slurry.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Infiltration and Water Storage Performance of Recycled Brick Mix Aggregates in Sponge City Construction

Pang

2023

Water

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With the gradual advancement of urbanization, urban hardened roofs and pavements are increasing, and the rainwater cycle is being seriously damaged; sponge city construction has become an inevitable trend to address this problem. The analysis of the infiltration and storage performance of recycled brick aggregate, which is highly absorbent and can be used as a permeable paving material in sponge cities, is of great significance. The study firstly designed a simulated rainfall test device, then carried out tests in terms of aggregate gradation, aggregate type, and aggregate grade, and finally analyzed its effect on the void structure and infiltration and water storage performance of recycled brick mix aggregates. The outcomes demonstrate that the particle size of recycled brick concrete aggregate is positively related to the water storage capacity, and the volume water storage rate of recycled sand is close to 26%. The fitting result of 1 h water storage rate under different dosage is 0.984. After 1 h of rainfall, the water storage rate is 3 times that of natural aggregate, and the volume water absorption rate is 2.5 times that of natural aggregate. This indicates that recycled brick concrete aggregate has strong permeability and water storage properties and has great potential for application in sponge city construction, and the study provides a reference for the optimal design of subsequent cities.

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Effect of silica fume and fly ash as cementitious material on hardened properties and embodied carbon of roller compacted concrete

Kumar

Bheel

Ahmed

et al. 2021

Environ Sci Pollut Res

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Mechanical properties of roller-compacted concrete pavement containing recycled brick aggregates and silica fume

Cited by 17 publications

References 67 publications

Prediction of compressive strength of roller compacted concrete using regression analysis and artificial neural networks

Prediction of compressive strength of roller compacted concrete using regression analysis and artificial neural networks

Analysis of the Infiltration and Water Storage Performance of Recycled Brick Mix Aggregates in Sponge City Construction

Effect of silica fume and fly ash as cementitious material on hardened properties and embodied carbon of roller compacted concrete

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