A Numerical Simulation Study of the Effects of Aggregate Particle Shape and Gradation on the Mechanical Properties of Recycled Concrete
GUO Lixia1,2,3, LI Song1, ZHONG Ling1,2,3,*, GUO Lei1,2,3, WANG Lunyan1,2,3, ZHANG Fangfang1
1 School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China 2 Henan Water Valley Research Institute, Zhengzhou 450046, China 3 Henan Key Laboratory of Water Environment Simulation and Treatment, Zhengzhou 450002, China
Abstract: Recycled concrete is a multiphase composite material. As its main component, the aggregate serves as skeleton and support and has a profound impact on its performance. This work conducted theoretical analysis, experiments and numerical simulations to establish a characteristic model that considers aggregate gradation and shape based on fractal theory. The developed model was used to analyze the characteristics of recycled aggregates. On this basis, a uniaxial compression simulation experiment with different aggregate characteristics was designed to simulate the failure process in recycled concrete. Results show: (i) as the gradation of recycled coarse aggregates approaches the maximum-density curve, the gradation fractal dimension increases, as do the peak stress and elastic modulus accordingly; (ii) the smoother and more regular the aggregate particles, the smaller the aggregate shape eigenvalues and the larger the peak stress and elastic modulus; (iii) in designing the mix proportions, a dense aggregate gradation should be used and all simply crushed recycled concrete aggregates should be reshaped. The above results provide a theoretical basis for renewable aggregate recycling and engineering design.
郭利霞, 李松, 钟凌, 郭磊, 汪伦焰, 张芳芳. 数值模拟骨料颗粒形状和级配对再生混凝土力学性能的影响[J]. 材料导报, 2022, 36(15): 21030052-7.
GUO Lixia, LI Song, ZHONG Ling, GUO Lei, WANG Lunyan, ZHANG Fangfang. A Numerical Simulation Study of the Effects of Aggregate Particle Shape and Gradation on the Mechanical Properties of Recycled Concrete. Materials Reports, 2022, 36(15): 21030052-7.
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2022, Vol. 36 
