Utilizing heat-mechanical synergistic treatment for separating concrete waste into high-quality recycled aggregate, active recycled powder and new concrete

Ma, Zhiming; Hu, Ruihan; Yao, Pengpeng

doi:10.1016/j.jobe.2023.106161

Cited by 7 publications

(7 citation statements)

References 49 publications

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“…Interestingly, the concrete compressive strength increases and then decreases with the increase in basalt fiber dosage. This may because when the concrete subjected to external pressure, the fibers can effectively absorb and disperse the energy and delay the generation and expansion of cracks, which is beneficial to improving the compressive strength of concrete [22][23][24]. Therefore, an increase in the basalt fiber dosage at the initial stage leads to an increase in the compressive strength of concrete.…”

Section: Analysis and Discussion Of Bfrac Properties Based On Rsm Mod...mentioning

confidence: 99%

Mixture ratio optimization of basalt fiber recycled aggregate concrete based on RSM

Li,

Sun

2024

Mater. Res. Express

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In this paper, the effects of W/B ratio, recycled aggregate (RA) content and basalt fiber (BF) dosage on the compressive strength, splitting tensile strength and slump of concrete were investigated and a regression model was developed for analysis and prediction, and the regression model was validated using ANOVA and confidence analysis. Statistical analysis revealed that W/B ratio, RA content and BF dosage had significant effects on all properties of concrete. The established regression model fits the experimental data well and can accurately predict the properties of concrete. It was also found that there was a significant interaction between W/B ratio and BF dosage, as well as RA content and BF dosage, which suggests that the combination of these factors should be considered in the design of concrete mix to achieve optimum performance. The predicted values of compressive strength, split tensile strength and slump of concrete under optimum proportioning were in good agreement with the experimental values. Therefore, optimizing the concrete proportion by response surface methodology can improve the testing efficiency and obtain basalt fiber recycled aggregate concrete that meets the design requirements and has better overall performance.

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Section: Analysis and Discussion Of Bfrac Properties Based On Rsm Mod...mentioning

confidence: 99%

Mixture ratio optimization of basalt fiber recycled aggregate concrete based on RSM

Li,

Sun

2024

Mater. Res. Express

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“…The suggested processes to strengthen AOM and remove AOM considered the lower strength capacity, the higher porosity, and the higher water absorption properties of RA to improve the quality of RA. Pozzolan slurry emulsion and polymer emulsion, cement/bio-cement treatment, bio-deposition treatment, carbonation treatment, acid treatment (i.e., 0.1 M HCl), heat treatment, microwave treatment, and also the combination of the treatment methods were applied to RA for the "removal of AOM" and "strengthening AOM" [1,[13][14][15][16][17][18][19][20]. However, there was a gap in the related subjects, and it was that in the studies conducted, researchers only examined the treatment methods and their effectiveness on RA.…”

Section: Introductionmentioning

confidence: 99%

“…In this regard, mechanical abrasion treatment is one of the successful methods in consideration of the required energy consumption and its impact on nature [25]. The Ball Mill Method (BMM) is a mechanical abrasion treatment and has been used alone (i.e., [23]) or with a treatment method (i.e., heat treatment [19], silica fume [26]) in the literature. In addition, the application of the treatment methods to the recycling industry showed that grinding and mechanical treatment might be found more feasible than others because the environmental impact of the mechanical treatment is lower than other methods [25].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Treatment of Recycled Aggregate (>4 mm), Artificial Intelligence and Analytical Approaches

Dilbas

2023

Materials

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Attached, old mortar removal methods are evolving to improve recycled aggregate quality. Despite the improved quality of recycled aggregate, treatment of recycled aggregate at the required level cannot be obtained and predicted well. In the present study, an analytical approach was developed and proposed to use the Ball Mill Method smartly. As a result, more interesting and unique results were found. One of the interesting results was the abrasion coefficient which was composed according to experimental test results; and the Abrasion Coefficient enables quick decision-making to get the best results for recycled aggregate before the Ball mill method application on recycled aggregate. The proposed approach provided an adjustment in water absorption of recycled aggregate, and the required reduction level in water absorption of recycled aggregate was easily achieved by accurately composing Ball Mill Method combinations (drum rotation-steel ball). In addition, artificial neural network models were built for the Ball Mill Method The artificial neural network input parameters were Ball Mill Method drum rotations, steel ball numbers and/or Abrasion Coefficient, and the output parameter was the water absorption of recycled aggregate. Training and testing processes were conducted using the Ball Mill Method results, and the results were compared with test data. Eventually, the developed approach gave the Ball Mill Method more ability and more effectiveness. Also, the predicted results of the proposed Abrasion Coefficient were found close to the experimental and literature data. Besides, an artificial neural network was found to be a useful tool for the prediction of water absorption of processed recycled aggregate.

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“…An important factor is the impurities that adhere to the surface of recycled concrete aggregates [ 60 , 61 , 62 ]. These impurities are mainly obtained from the cement paste of old buildings and contain large amounts of alkaline substances [ 63 , 64 ].…”

Section: Introductionmentioning

confidence: 99%

Mass GGBFS Concrete Mixed with Recycled Aggregates as Alkali-Active Substances: Workability, Temperature History and Strength

Huo

Huang²,

Han

et al. 2023

Materials

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This study provides the results of an experiment on the possibility of using high-volume ground granulated blast furnace slag (HVGGBFS)-based concrete as mass concrete. In addition to the control concrete, the total weight of the binder was 75% ground granulated blast furnace slag (GGBFS) and 25% ordinary Portland cement (OPC). For the aggregates, both natural and recycled aggregates were used. Three specimens with dimensions of 800 mm × 800 mm × 800 mm were prepared to simulate mass concrete. The workability, temperature aging and strength of the mass concrete were tested. The test results showed that utilizing HVGGBFS concrete as mass concrete can significantly reduce the heat of hydration due to the low heat of hydration of GGBFS, while the heat of hydration of GGBFS and recycled aggregate combination is 11.2% higher than normal concrete, with a slump that is 31.3% lower than that of plain concrete. The results also showed that the use of recycled aggregates in HVGGBFS concrete can significantly reduce workability. However, the compressive strength is higher than when natural aggregates are used due to the alkali activation effect caused by the recycled aggregates. The compressive strength at 7 and 28 days increased by 33.7% and 16.3%, respectively.

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Utilizing heat-mechanical synergistic treatment for separating concrete waste into high-quality recycled aggregate, active recycled powder and new concrete

Cited by 7 publications

References 49 publications

Mixture ratio optimization of basalt fiber recycled aggregate concrete based on RSM

Mixture ratio optimization of basalt fiber recycled aggregate concrete based on RSM

Optimizing the Treatment of Recycled Aggregate (>4 mm), Artificial Intelligence and Analytical Approaches

Mass GGBFS Concrete Mixed with Recycled Aggregates as Alkali-Active Substances: Workability, Temperature History and Strength

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