Minkowski Sum–Enhanced 3D Mesoscale Structure Model for Concrete with High Aggregate Volume Fractions

Abstract

This paper presents a novel and efficient method for generating three-dimensional (3D) mesoscale structures of concrete using the discrete element method (DEM). The proposed approach enables the flexible and precise simulation of various aggregate shapes and volume fractions, which is crucial for sensitivity analysis and computational studies. Unlike traditional digitalization methods, this technique focuses on creating adjustable synthetic models to investigate the impact of different parameters on the mechanical properties of concrete. This technique demonstrates significant advantages in generating complex concave aggregates and high aggregate volume fraction models while allowing for flexible control of particle spacing, thus enhancing computational efficiency and model accuracy. Numerical simulations using the proposed method show excellent agreement with laboratory experimental results, validating its reliability. This method not only facilitates deeper sensitivity analysis but also aids in optimizing concrete designs and applications by providing insights into the effects of various parameters on concrete performance. The method proposed in this paper offers significant advancements for the concrete industry by enabling the precise modeling of the internal structure of concrete, which is crucial for predicting and optimizing its mechanical properties. Practitioners can utilize this method to simulate and analyze the effects of varying aggregate shapes and volume fractions on concrete performance, facilitating better material design and application. The ability to model complex concave aggregates and achieve high aggregate volume fractions with improved computational efficiency means that this method can be applied in real-world scenarios in which the durability and strength of concrete are critical, such as in infrastructure projects and high-performance concrete structures. By providing a deeper understanding of how different parameters influence concrete behavior, this approach helps engineers and material scientists optimize mix designs to meet specific project requirements, potentially leading to more sustainable and cost-effective construction practices.