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Experimental Study of Utilizing Recycled Fine Aggregate for the Preparation of High Ductility Cementitious Composites

机译:利用再生细骨料制备高延性水泥基复合材料的试验研究

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摘要

Waste concrete was recycled and crushed into fine aggregate to prepare a high ductility cementitious composite (HDCC) in this study, for helping dispose the massive amount of construction waste and for reserving natural resources. Firstly, the features of recycled fine aggregate (RFA) were analyzed in detail and compared with natural fine aggregate (NFA). After that, the mechanical properties, including compression, flexure, bending and tension, and the microstructure of high ductility cementitious composite (HDCC) prepared with RFA were systematically investigated and compared with that of HDCC prepared with NFA. The results show that, since RFA has a higher water absorption rate and contains 4.86 times as much crush dust as NFA, HDCC with RFA forms a denser matrix and a higher bond between fiber and matrix than HDCC with NFA. Thus, HDCC with RFA has higher compressive, flexural, bending and tensile strength. Meanwhile, the higher bond between the fiber and matrix of HDCC with RFA and the finer particle sizes of RFA can greatly promote the development of multiple cracking. As a result, HDCC with RFA exhibits more remarkable stain hardening, and presents 182.73% higher peak deflection in bending and 183.33% higher peak strain in tension than HDCC with NFA. Finally, with the consideration of fiber volume fraction, the prediction models for the peak strengths of HDCC with RFA were proposed. The prediction results show a good agreement with the test results.
机译:在本研究中,将废混凝土回收再粉碎成细骨料,以制备高延展性水泥复合材料(HDCC),以帮助处置大量建筑垃圾和保留自然资源。首先,对再生细骨料(RFA)的特点进行了详细分析,并将其与天然细骨料(NFA)进行了比较。之后,系统地研究了用RFA制备的高塑性水泥基复合材料(HDCC)的压缩,挠曲,弯曲和拉伸机械性能,以及与NFA制备的HDCC的微观结构。结果表明,由于RFA的吸水率更高,并且碎屑的含量是NFA的4.86倍,因此与RFA相比,带有RFA的HDCC形成更致密的基体,并且纤维与基体之间的粘结性更高。因此,带有RFA的HDCC具有更高的压缩,弯曲,弯曲和拉伸强度。同时,HDCC纤维与RFA的纤维与基体之间的较高键合和RFA的细小尺寸可极大地促进多重裂纹的发展。结果,与RFA相比,具有RFA的HDCC表现出更显着的污点硬化,并且弯曲时的峰变形高出182.73%,而拉伸时的峰值应变高183.33%。最后,结合纤维体积分数,提出了带有RFA的HDCC峰值强度的预测模型。预测结果与测试结果吻合良好。

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