Aggregate Geometry Generation Method Using a Structured Light 3D Scanner, Spherical Harmonics–Based Geometry Reconstruction, and Placing Algorithms for Mesoscale Modeling of Concrete

Abstract

Mesoscale numerical modelling is an effective method of representing concrete as a three-phase material. Accurate aggregate geometry representation is an important aspect in numerical mesoscale modelling of concrete to predict mechanical properties as well as the damage initiation and fracture propagation. In this paper, a novel approach of 3D scanning of aggregates P.S.M Thilakarathna would like to thank The University of Melbourne, Australia for providing Melbourne Graduate Research Scholarship Award.

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

“…With the development of advanced techniques, such as CT and the Aggregate Image Measurement System (AIMS) [101], it is possible to reconstruct 3D digital aggregate particles with morphological properties [102][103][104], which makes it possible to directly conduct a virtual design of the asphalt mixture. During the virtual design process, several basic parameters, such as aggregate gradation, spatial distribution, orientation, shape, angularity, texture, aggregate content, asphalt content, and air void content, will undoubtably affect the macroscale performance of the entire asphalt mixture and the microscale mechanical response inside a sample.…”

Effects of rock types and crushing mechanism on the 3D morphological parameters of manufactured sands: a combination study of 3D scanning and spherical harmonic analysis

“…In the existing three-dimensional reconstruction methods, a large amount of point data was generated to reconstruct the particle morphology, which resulted in a very inefficient reconstruction of the 3D morphology of manufactured sand. The spherical harmonic function can convert 3D surface data into spherical harmonic coefficients for storage, which greatly reduces the storage space of the data, and has high accuracy and good stability, which is widely used in particle morphology reconstruction (Erdogan et al, 2006;Zhou et al, 2015;Thilakarathna et al, 2021;Wei et al, 2022). Therefore, a voxel-based spherical harmonic…”

“…In response to the above problems, scholars have proposed several mathematical analysis methods aimed at simplifying the raw 3D scan data (Ritchie and Kemp, 1999;Rypl and Bým, 2012;Zhou et al, 2015;Thilakarathna et al, 2021;Wei et al, 2022). Among these, the spherical harmonic (SH) function proposed by Garboczi (Garboczi, 2002) is widely applied due to its high efficiency and adaptability in data simplification.…”