Abstract

Recycled aggregate concrete (RAC) has a complex mesostructure with heterogeneous compositions of aggregates, interfacial transition zones (ITZs), and mortar. It is still a big challenge to simulate the 3D mesostructure of RAC accounting for its inherent characteristics, which plays a crucial role in its mechanical properties and long-term durability. This study introduces an advanced computational framework based on Voronoi tessellation approach to generate the highly realistic 3D mesostructured of RAC. The proposed framework can address the key challenges in simulating irregular aggregate morphology and spatial distribution while effectively incorporating the multi-phase structure of RAC which consists of old and new aggregates, old and new ITZs, and mortar phases. A hierarchical clustering approach was employed to refine the Voronoi cell segmentation, ensuring precise control over particle size distribution, volume fractions, and morphological characteristics. The integration of geometric scaling and splining techniques was adopted to enhance the model's accuracy, facilitating a more realistic representation of 3D microstructure of RAC. Validation of simulations against experimental data demonstrates strong alignment in particle morphology, particularly in sphericity and roundness indices, confirming the robustness of the computational model. Designed for compatibility with finite element analysis, this modelling framework enables comprehensive investigations into mechanical behaviour, failure mechanism, and mass transport properties. The research provides an essential tool for optimising the mix design of RAC, supporting sustainable construction practices, and improving the durability of recycled concrete structures.

Keywords

mesostructure, recycled concrete aggregate, interfacial transition zone, voronoi tessellation, finite element analysis.

DOI

10.5703/1288284318111

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Computational Modelling of 3D Mesostructure of Recycled Aggregate Concrete

Recycled aggregate concrete (RAC) has a complex mesostructure with heterogeneous compositions of aggregates, interfacial transition zones (ITZs), and mortar. It is still a big challenge to simulate the 3D mesostructure of RAC accounting for its inherent characteristics, which plays a crucial role in its mechanical properties and long-term durability. This study introduces an advanced computational framework based on Voronoi tessellation approach to generate the highly realistic 3D mesostructured of RAC. The proposed framework can address the key challenges in simulating irregular aggregate morphology and spatial distribution while effectively incorporating the multi-phase structure of RAC which consists of old and new aggregates, old and new ITZs, and mortar phases. A hierarchical clustering approach was employed to refine the Voronoi cell segmentation, ensuring precise control over particle size distribution, volume fractions, and morphological characteristics. The integration of geometric scaling and splining techniques was adopted to enhance the model's accuracy, facilitating a more realistic representation of 3D microstructure of RAC. Validation of simulations against experimental data demonstrates strong alignment in particle morphology, particularly in sphericity and roundness indices, confirming the robustness of the computational model. Designed for compatibility with finite element analysis, this modelling framework enables comprehensive investigations into mechanical behaviour, failure mechanism, and mass transport properties. The research provides an essential tool for optimising the mix design of RAC, supporting sustainable construction practices, and improving the durability of recycled concrete structures.