Faculty of Civil Engineering, Babol Noshirvani University of Technology, Postal Box: 484, Babol, 47148-71167, Iran.
Department of Civil Engineering, EFC College, Urmia, Iran.
Sci Rep. 2023 Mar 18;13(1):4502. doi: 10.1038/s41598-023-31646-0.
This study provides a more profound understanding of the influence of the phases of fiber-reinforced recycled-aggregate concrete (FRRAC), on its elastic properties, in particular Young's modulus and Poisson's ratio. Multi-scale modeling analyses of mortar and FRRAC were conducted to assess the effect of variations in the fiber content, fiber elastic modulus, RA content, and water-to-cement ratio (w/c) on the elastic properties at each scale. Thus, the analytic Mori-Tanaka (MT) homogenization algorithm developed in Python programming language and the three-dimensional finite element (FE) homogenization scheme were applied to evaluate the elastic properties of FRRAC. As such, different fiber types including steel, basalt, glass, and propylene, at a volume fraction range of 0-2%, along with the variations in fiber elastic modulus, and different RA replacement levels ranging from 0 to 100% were incorporated in the modeling process at different w/c ratio. Based on the results, the Poisson's ratio of steel FRRAC in the MT approach surges with increasing fiber content. Furthermore, the elastic modulus of FRRAC is highly susceptible to an increase in Young's modulus of polypropylene fiber, among other fiber types. The elastic modulus of concrete experiences a sharp decrease with increasing w/c for all fiber types in both FE and MT approaches.
本研究深入探讨了纤维增强再生骨料混凝土（FRRAC）各相在其弹性特性，尤其是杨氏模量和泊松比方面的影响。采用多尺度分析方法对砂浆和 FRRAC 进行建模分析，以评估纤维含量、纤维弹性模量、再生骨料含量和水灰比（w/c）变化对各尺度弹性特性的影响。为此，应用基于 Python 编程语言开发的解析 Mori-Tanaka（MT）均匀化算法和三维有限元（FE）均匀化方案来评估 FRRAC 的弹性性能。在建模过程中，考虑了不同纤维类型，包括钢、玄武岩、玻璃和丙烯纤维，体积分数范围为 0-2%，以及纤维弹性模量和不同 RA 替代水平的变化，范围从 0 到 100%，在不同的 w/c 比下进行。结果表明，在 MT 方法中，钢纤维 FRRAC 的泊松比随纤维含量的增加而增加。此外，与其他纤维类型相比，聚丙烯纤维的弹性模量的增加对 FRRAC 的弹性模量有很大的影响。在 FE 和 MT 两种方法中，对于所有纤维类型，混凝土的弹性模量随 w/c 的增加而急剧下降。
