The Compressive Strength and Establishment Its Prediction Model of Concrete with Recycled Coarse Aggregates from Different Sources
XU Kaicheng1,2, WANG Wenpeng1,2, ZHANG Liqing1,2,*
1 State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China 2 School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China
Abstract: The original concrete strength of recycled coarse aggregate is the main factor affecting the strength of recycled concrete. However, it is difficult to confirm the source and strength of original concrete of commercial recycled coarse aggregate used in actual engineering. In order to establish a compressive strength prediction model of concrete with recycled coarse aggregate from various sources using easily measured parameters, five types of recycled coarse aggregate from different sources and one type of commercial recycled coarse aggregate were collected and prepared. The recycled concrete samples with different coarse aggregate mixing ratios were prepared and their strength test were carried out. The relationships between apparent density (ρ), water absorption (ω) and the ratio of original concrete strength to design strength (η) were analyzed. Based on the analysis, the influence of original concrete strength on mixed recycled concrete strength can be converted to ρ and ω, and then the prediction formula of compressive strength of mixed recycled concrete was proposed. The results show that the failure forms of mixed recycled concrete depend on the proportion of coarse aggregate containing with low strength. When the proportion of low-strength recycled aggregate changes from low to high, the failure form is transformed from aggregate failure to aggregate-mortar interface failure. By comparing the calculated strength by the formula and the strength of commercial coarse aggregate mixed recycled concrete by the test, the calculation error of the formula considering only the influence of a single factor ρ is within 10%, and the calculation error of the formula considering the influence of ρ and ω factors is within 6%.
许开成, 王文鹏, 张立卿. 不同来源粗骨料混合再生混凝土抗压强度及其预测模型建立[J]. 材料导报, 2025, 39(12): 23110068-9.
XU Kaicheng, WANG Wenpeng, ZHANG Liqing. The Compressive Strength and Establishment Its Prediction Model of Concrete with Recycled Coarse Aggregates from Different Sources. Materials Reports, 2025, 39(12): 23110068-9.
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2025, Vol. 39 
