The Effect of Water-Cement Ratio and Curing Age on the Strength of Recycled Concrete

Zhang, Xue Bing; Kuang, Chen Gang; Fang, Zhi

doi:10.4028/www.scientific.net/amr.217-218.740

Cited by 2 publications

(1 citation statement)

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“…As can be seen from Figure 9, the importance of the nine input variables to the CS of recycled concrete decreases in the order of WC, NMR, AC, BDR, WAR, BDN, WAN, NMR, and RCA. Among the input variables, WC and AC have the highest important score for the CS of recycled concrete; it is not difficult to understand that WC and AC affect the output indexes by affecting its compactness, which has been confirmed in previous studies [75,76]. This indicates that engineers need to pay more attention to the indexes of WC and AC in the subsequent preparation of recycled concrete to achieve the purpose of enhancing the CS of recycled concrete by controlling compactness.…”

Section: Significance and Sensitivity Analysis Of Input Variablessupporting

confidence: 52%

Improvement of Computational Efficiency and Accuracy by Firefly Algorithm and Random Forest for Compressive Strength Modeling of Recycled Concrete

et al. 2023

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It is an important direction for the sustainable development of pavement to mix the discarded concrete blocks with gradation according to a certain proportion after crushing, cleaning and other technological processes, partially or completely replace aggregate, and then add cement, water, and so on to make recycled concrete for pavement paving, but the traditional evaluation model for the compressive strength (CS) of recycled concrete cannot meet the requirements of efficient calculation. To address such issues, the present research proposed to apply the firefly algorithm (FA) to optimize the random forest (RF) model. The results were demonstrated by comparing the consistency of predicted and actual values, and also by analyzing the correlation coefficient (R) and root-mean-square error (RMSE). Higher R values (0.9756 and 0.9328) and lower RMSE values (3.0752 and 6.4369) for the training and test sets present the reliability of the FA and RF hybrid machine learning model. To understand the influence law of input indexes on the output index, the importance and sensitivity of variables are further analyzed. The results displayed that effective water-cement ratio (WC) and nominal maximum recycled concrete aggregate size (NMR) have the greatest impact on the output variable, with importance scores of 2.5947 and 2.4315, respectively, while the change in the recycled concrete aggregate replacement rate (RCA) has a weak influence, with an importance score of 0.4695. Introducing FA to RF for the compressive strength modeling of recycled concrete can significantly improve the computational efficiency and accuracy.

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Section: Significance and Sensitivity Analysis Of Input Variablessupporting

confidence: 52%

Improvement of Computational Efficiency and Accuracy by Firefly Algorithm and Random Forest for Compressive Strength Modeling of Recycled Concrete

et al. 2023

View full text Add to dashboard Cite

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Carbonation of recycled aggregate and its effect on properties of recycled aggregate concrete: A review

Liu

Sun

et al. 2021

mat express

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The over exploitation of stone quarries, the generation of construction and demolition (C&D) waste, and the steady increase in the cost of preparing additional landfill space have caused great challenges to the environment and economy. Recycled aggregate concrete (RAC), as one of the sustainable construction material, has become a research hotspot and has received widespread attention. However, the formation of weak interface transition zone (ITZ) which caused by the existence of residual old mortar will exert a negative impact on the performance of RAC. Therefore, various treatments have been proposed to enhance the properties of the residual old mortar, including mechanical treatment, soaking, carbonation and so on. And it has been proved that carbonation is an effective and sustainable way to both improve the water absorption of RA and strengthen the ITZ of RAC. So, firstly, this article is devoted to reviewing the current research on the application of carbonized RA to RAC, focusing on two parts: (1) RA: the changes of physical properties under different conditions; (2) RAC: the microstructure, workability, mechanical properties and durability of the concrete with carbonized RA. Thereafter, it is known from the summarized literatures that carbonation can improve physical properties of RA and the optimal effect can be achieved by adjusting carbonation conditions. RAC with carbonized RA has denser both new and old ITZs, the microstructure, performance of it are also improved. Finally, this work may provide a reference for the research of carbonation and the application of RA in engineering in the future.

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The Effect of Water-Cement Ratio and Curing Age on the Strength of Recycled Concrete

Cited by 2 publications

References 0 publications

Improvement of Computational Efficiency and Accuracy by Firefly Algorithm and Random Forest for Compressive Strength Modeling of Recycled Concrete

Improvement of Computational Efficiency and Accuracy by Firefly Algorithm and Random Forest for Compressive Strength Modeling of Recycled Concrete

Carbonation of recycled aggregate and its effect on properties of recycled aggregate concrete: A review

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