Study on mesoscopic performances of recycled concrete

A three-dimensional meso-structure model of recycled concrete is proposed which is composed of five-phase materials of newly hardened mortar, old hardened mortar, internal interface zone, external interface zone and natural aggregate. Using Python language with dynamic semantic features, an algorithm to generate three-dimensional recycled concrete random aggregate model is compiled based on Monte Carlo method, The kernel program of Abaqus software is manipulated by the algorithm to realize the reasonable integration of the model construction and numerical analysis. Three-dimensional recycled concrete random aggregate models are built with the above method based four different aggregate percent. The mechanical properties of the model with 45% aggregate percent are simulated and analyzed. The results show that the three-dimensional model established with Python is in good agreement with the real microstructure of recycled concrete. This method can meet the requirements of the aggregate generation randomness and the aggregate generation input rate. The mechanical properties of the model are in good agreement with the test results. This method is better able to solve the modelling problem and meet the needs of applications.