Zhang Jing, Zhu Xuejun, Zhou Mingyuan, Huang Xianwen
Department of Architecture and Engineering, Yancheng Polytechnic College, Yancheng 224005, China.
School of Civil Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China.
Materials (Basel). 2024 Jan 12;17(2):379. doi: 10.3390/ma17020379.
The evaluation of the elastic modulus of recycled concrete is one of the focuses of civil engineering and structural engineering, which is not only related to the stability of building structures but also related to the resource utilization of concrete. Therefore, based on the IRSM method in mesoscale, a novel model for predicting the elastic modulus of recycled concrete is proposed which has the advantages of being low-cost and high-precision, amongst others, compared to theoretical and experimental methods. Then, the influence of coarse aggregate, contact surface, gelling material, and air bubbles on the elastic modulus of recycled concrete is studied. The IRSM model includes four processes: Identification, Reconstruction, Simulation, and Monte Carlo, which can accurately reconstruct the geometric characteristics of coarse aggregate, efficiently reconstruct the coarse aggregate accumulation model, and quickly analyze the elastic modulus of concrete, as well as fully consider the nonuniform characteristics of coarse aggregate distribution and shape. Compared with the experimental results, the error is less than 5%, which verifies the rationality of the IRSM method. The results of the parametric analysis show that the influence of each factor on the elastic modulus of concrete in descending order is elastic modulus of cement, elastic modulus of coarse aggregate, content of coarse aggregate, content of air voids, elastic modulus of contacting surface, and thickness of contacting surface, and the corresponding Pearson's Coefficients are 0.688, 0.427, 0.412, -0.269, 0.188, and -0.061, respectively, in which the content of air voids and thickness of contact surface have a negative effect on the elastic modulus of concrete. These influences mainly affect the deformation resistance (elastic modulus) of concrete through "force chain" adjustment, including the force transfer effect, number of paths, and integrity.
再生混凝土弹性模量的评估是土木工程和结构工程的重点之一，它不仅关系到建筑结构的稳定性，还关系到混凝土的资源利用。因此，基于细观尺度的IRSM方法，提出了一种预测再生混凝土弹性模量的新型模型，与理论和实验方法相比，该模型具有低成本、高精度等优点。然后，研究了粗骨料、接触面、胶凝材料和气泡对再生混凝土弹性模量的影响。IRSM模型包括识别、重构、模拟和蒙特卡洛四个过程，能够准确重构粗骨料的几何特征，高效重构粗骨料堆积模型，快速分析混凝土的弹性模量，充分考虑粗骨料分布和形状的不均匀特性。与实验结果相比，误差小于5%，验证了IRSM方法的合理性。参数分析结果表明，各因素对混凝土弹性模量的影响程度由大到小依次为水泥弹性模量、粗骨料弹性模量、粗骨料含量、孔隙率、接触面弹性模量、接触面厚度，相应的皮尔逊系数分别为0.688、0.427、0.412、-0.269、0.188和-0.061，其中孔隙率和接触面厚度对混凝土弹性模量有负面影响。这些影响主要通过“力链”调整来影响混凝土的抗变形能力（弹性模量），包括力的传递效应、路径数量和完整性。
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