Granite Particle Flow Modeling Method Based on Digital Image Processing and Mesoscopic Parameter Calibration

DOI

10.2991/978-94-6463-793-9_72How to use a DOI?

Keywords

Digital image processing; PFC; Mesoscopic parameter; Granite; Uniaxial compression test

Abstract

The transportation and civil construction sectors have placed higher demands on the study of the stability and mechanical behavior of geotechnical materials. In particular, the precise simulation of the microstructure of rock masses is critical for engineering design and safety assessments in tunnels and underground projects. To address the challenges of accurately reproducing the internal compositional differences and mesoscopic structures of rock-like materials in particle flow modeling, digital image processing technology was employed to develop a refined PFC simulation model for granite standard specimens, and mesoscopic parameters for parallel bond contacts were also calibrated. The results show that digital image processing effectively extracts the boundaries between different mineral components, such as quartz, feldspar, and mica, restoring the complex internal geometric structure of granite. The mesoscopic parameters significantly influencing the macroscopic deformation behavior of the model are the contact modulus and the normal-to-shear stiffness ratio. Parameters affecting the macroscopic load-bearing capacity include the friction coefficient, tensile strength, cohesion, and internal friction angle. Based on the final calibrated mesoscopic parameters, the PFC simulation model demonstrates good agreement with the experimental results of the granite standard specimens under uniaxial compression, indicating that the calibration method for mesoscopic parameters is both reasonable and effective.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jin Pi
AU  - Jun Feng
AU  - Ke Li
AU  - Heyi Liu
AU  - Jiangrong Pei
AU  - Tiannan Chen
AU  - Yu Li
PY  - 2025
DA  - 2025/07/28
TI  - Granite Particle Flow Modeling Method Based on Digital Image Processing and Mesoscopic Parameter Calibration
BT  - Proceedings of the 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025)
PB  - Atlantis Press
SP  - 864
EP  - 874
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-793-9_72
DO  - 10.2991/978-94-6463-793-9_72
ID  - Pi2025
ER  -