Research on PFC3D meso-parameters prediction model and strength simulation of backfill based on hemical-mechanical coupling
Year: 2025
Type: article
Abstract: This study develops and validates a meso-parameter prediction model for backfill materials in PFC3D, enabling efficient numerical construction under varying curing ages and mix ratios. A quantitative correlation was established between hydration degree of the backfill and macroscopic mechanical properties, facilitating prediction of performance evolution. Using the parallel bonded contact model, the effective modulus $$\overline{E}$$ * was found to exhibit a linear relationship with the macroscopic elastic modulus E, while the stiffness ratio $$\overline{k}$$ n/ $$\overline{k}$$ s demonstrated a strong correlation with Poisson’s ratio v. Compressive strength σ was shown to depend on both $$\overline{k}$$ n/ $$\overline{k}$$ s and the bonding parameter σn/σs. Based on these relationships, a coupled chemo-mechanical prediction framework was developed to integrate hydration, mechanical response, and meso-scale input parameters. Validation against uniaxial and biaxial simulations demonstrated good agreement with laboratory tests, with mean errors below 8.5% for strength and 10% for deformation. Simulated failure modes closely reproduced experimental observations, confirming model reliability. Application to real stope conditions further demonstrated its capability to evaluate backfill strength. This work provides a mechanistic foundation for efficient and accurate parameter determination, supporting predictive modeling of cemented backfill systems.
Source: Scientific Reports
Authors: Yong Wang, Chen Cao, Defeng Wang, Jiang Jiao, Aixiang Wu
Institution: University of Science and Technology Beijing
Language: English
Topic: Rock Mechanics and Modeling
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
Awards: G521582903, G7019870080
OpenAlex ID: W4417149186