Mechanical properties and uniaxial compressive stress-strain behavior of fully recycled aggregate concrete

Tang, Yuxiang; Xiao, Jianzhuang; Zhang, Hanghua; Xia, Bing

doi:10.1016/j.conbuildmat.2022.126546

Cited by 116 publications

(31 citation statements)

References 48 publications

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“…For the untreated RAC, aggregate defects and ITZ of the recycled coarse aggregate are important factors that affect its strength. Due to the high-level water absorption of recycled coarse aggregate, the dry recycled coarse aggregate will absorb part of the mixing water in the fresh concrete, resulting in a reduction in the effective W/B of the concrete and limiting the hydration of the cement [ 25 ]. On the one hand, pre-wetted recycled coarse aggregates effectively improve the degree of hydration of cement around the aggregates [ 26 ].…”

Section: Resultsmentioning

confidence: 99%

Study on the Mechanical Properties and Durability of Recycled Aggregate Concrete under the Internal Curing Condition

Yang

Guo

et al. 2022

Materials

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Poor mechanical properties and durability of recycled aggregate concrete (RAC) hinder its application in the construction field. In this study, pre-wetted recycled coarse aggregate was used as the internal curing material for prepared RAC with low water-to-binder ratio (W/B), aiming to improve the mechanical properties and durability. The results show that the workability decreases with increasing contents of pre-wetted recycled coarse aggregate. The variation in compressive strength of RAC with different contents of pre-wetted recycled coarse aggregate is obvious within 28 d. After 28 d, the effect of internal curing of pre-wetted recycled coarse aggregate starts to occur, causing a sustained increase in compressive strength. The sealed concrete with 50% and 75% pre-wetted recycled coarse aggregate contents presents the highest compressive strength and better internal curing effect. The pre-wetted recycled coarse aggregate decreases the relative humidity inside the concrete and effectively inhibits the development of shrinkage in the early stages. The RAC with pre-wetted recycled coarse aggregate presents little effect on the drying shrinkage. Additionally, the electric flux of RAC cured for 28 d increases from 561C to 1001C, which presents good resistance to chloride permeation. Microscopic tests indicate that the incorporation of pre-wetted recycled coarse aggregate is beneficial to the improvements of internal structure of RAC.

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Section: Resultsmentioning

confidence: 99%

Study on the Mechanical Properties and Durability of Recycled Aggregate Concrete under the Internal Curing Condition

Yang

Guo

et al. 2022

Materials

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“…In this study, in order to develop a prediction model for the compressive strength of green concrete, data was collected from the literature 6,16,18,20,22,[42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58] and the University of California, Irvine Machine Learning Repository. 59 A comprehensive dataset was constructed, which included 2479 experimental data of the compressive strength of green concrete prepared from binary, ternary, and quaternary cementitious binders.…”

Section: Data Collectionmentioning

confidence: 99%

Predicting compressive strength of green concrete using hybrid artificial neural network with genetic algorithm

Pan

Wang

et al. 2022

Structural Concrete

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With the growing usage of supplementary cementitious materials (silica fume, fly ash, and ground blast furnace slag, etc.) in concrete, accurate prediction of green concrete compressive strength (CS) has become an issue worth investigating. In this paper, a green concrete CS prediction model was developed using hybrid artificial neural network with genetic algorithm (GA-ANN) based on 2479 green concrete CS experiment results. Also two prediction models based on support vector regression (SVR) and ANN algorithm were developed for comparison. Five new parameters were constructed based on the original nine influencing parameters of CS, taking all 14 parameters as input variables, the influence of the constructed parameters on the model performance was studied. Feature selection was then performed based on the maximum information correlation (MIC) and sensitivity analysis results, which could improve the model by deleting several parameters. The results showed that the prediction performance of the SVR, ANN, and GA-ANN models were improved after adding new parameters, the GA-ANN model has the best prediction performance. The accuracy and robustness of the GA-ANN model were effectively improved by deleting the input variables with lower MIC and sensitivity values.

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“…However, it was found that the higher water absorption and poorer performance of RFAs made them less applicable than RCAs [ 17 ]. Their negative effects on concrete strength [ 18 , 19 ], shrinkage [ 20 ] and durability performance [ 21 , 22 ] are more significant at high substitution rates due to the increase in microcracks and porosity. Therefore, the higher concrete cracking and porosity degree due to the macro performance loss caused by the replacement of RCA and RFA is the main reason to limit the high added value of recycled products [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Study on the Performance of Recycled Coarse and Fine Aggregates as Microbial Carriers Applied to Self-Healing Concrete

Duan

Xiao

et al. 2023

Materials

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The contradiction between the scarcity of natural resources and the demand for construction materials has given rise to the application of recycled aggregates. Microbial self-healing concrete (SHC) is a clean and smart material, and its carrier has a great influence on repair performance. In this paper, recycled coarse aggregate (RCA) and recycled fine aggregate (RFA) were used as carriers, and their different repair effects over time were intensively investigated. The results showed that the RCA carrier had a better repair effect compared with that of RFA, and the maximum healing width could reach 0.27 mm by 28 day. The microbial repair efficiency was significantly influenced by the distribution of old mortar, with the RFA specimen having a small volume and wide distribution of repair products, while the RCA repair showed a centralized tendency. In addition, SEM, MIP and XRD characterization were used to analyze the repair mechanism. The time-dependent repair model was developed, and the applicability of the model for concrete enhancement under microbial repair was verified through experimental results. The research results could promote industrial applications by giving intelligent and green properties to recycled aggregates.

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Mechanical properties and uniaxial compressive stress-strain behavior of fully recycled aggregate concrete

Cited by 116 publications

References 48 publications

Study on the Mechanical Properties and Durability of Recycled Aggregate Concrete under the Internal Curing Condition

Study on the Mechanical Properties and Durability of Recycled Aggregate Concrete under the Internal Curing Condition

Predicting compressive strength of green concrete using hybrid artificial neural network with genetic algorithm

Study on the Performance of Recycled Coarse and Fine Aggregates as Microbial Carriers Applied to Self-Healing Concrete

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