A Voronoi-based gaussian smoothing algorithm for efficiently generating RVEs of multi-phase composites with graded aggregates and random pores

• DOI: 10.1016/j.matdes.2024.113159
• Publication Date: 2024-07-10T23:59:16Z
• Authors: Yutai Su; Percy M. Iyela; Jiaqi Zhu; Xujiang Chao; Shaobo Kang; Xu Long
• Keywords: Mesoscopic physics; Smoothing; Volume fraction; Tortuosity

This paper presents an innovative numerical modeling framework capable of generating highly realistic 3D mesoscale multi-phase concrete models with unprecedented efficiency and accuracy. Addressing a significant wide range in aggregate volume fraction (0 to 80%) featuring rapid model generation capabilities, our marks breakthrough reducing computational time—achieving simulations 1 million elements within mere 30 s on readily available hardware. By analyzing randomly generated samples across varying compositions, algorithm can provide deep mesoscopic insights into their compressive properties, validated against array experimental results. Additionally, comprehensive analytical sheds light the intricate roles porosity, enhancing understanding meso-scale behavior. We also make source code GitHub, offering valuable tool for engineering research community optimize material design performance.