Study on Calibration Method of Micromechanical Parameters for Discrete Element Model of Moderately Consolidated Sandstones

The study of the mechanical properties of moderately consolidated sandstones is crucial for engineering safety assessments. As an effective research tool, the discrete element method (DEM) encounters challenges during the modeling phase, such as a large number of micromechanical parameters, low modeling efficiency, and unclear coupling mechanisms among multiple parameters. To address these issues, this paper proposes a calibration method for the micromechanical parameters of DEM models for moderately consolidated sandstones. By integrating orthogonal experimental design with a multivariate analysis of variance, the influence of micromechanical parameters on macroscopic mechanical properties is quantified, and a parameter prediction model is constructed using an intelligent dynamic regression selection mechanism, significantly improving the efficiency and accuracy of micromechanical parameter calibration. The results show that the macroscopic elastic modulus E is primarily controlled by the effective modulus (E¯), stiffness ratio (k), and particle size ratio (Rmax/Rmin), following a linear relationship. The influence of the particle size ratio decreases significantly once it exceeds a threshold value. The macroscopic uniaxial compressive strength (UCS) is dominated by cohesion (c¯) and tensile strength (σ¯c), exhibiting a polynomial relationship, where a stronger synergistic effect is generated when both parameters are at higher levels. Poisson’s ratio (μ) is significantly correlated only with the stiffness ratio (k), following a logarithmic relationship. An iterative correction method for micromechanical parameter calibration is proposed. The errors between the three groups of simulation results and laboratory test results are all less than 10%, and the crack distribution patterns show a high degree of consistency. The findings of this study provide a theoretical foundation and technical means for exploring the mechanical behavior and damage mechanism of moderately consolidated sandstones.

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Publication Details

Journal
Applied Sciences
Published
2025-06-24
DOI
https://doi.org/10.3390/app15137086
Primary Topic
Rock Mechanics and Modeling
Type
article
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article

Study on Calibration Method of Micromechanical Parameters for Discrete Element Model of Moderately Consolidated Sandstones

Rujia Dai, Wenhong Zhang, Panpan Zhang, Tianyu Wang et al.
4 links
Applied Sciences
Rock Mechanics and Modeling
article

Study on Calibration Method of Micromechanical Parameters for Discrete Element Model of Moderately Consolidated Sandstones

Rujia Dai, Wenhong Zhang, Panpan Zhang, Tianyu Wang, Hantao Zhao, Shouceng Tian, Zhengchao Ma
article en

Abstract

The study of the mechanical properties of moderately consolidated sandstones is crucial for engineering safety assessments. As an effective research tool, the discrete element method (DEM) encounters challenges during the modeling phase, such as a large number of micromechanical parameters, low modeling efficiency, and unclear coupling mechanisms among multiple parameters. To address these issues, this paper proposes a calibration method for the micromechanical parameters of DEM models for moderately consolidated sandstones. By integrating orthogonal experimental design with a multivariate analysis of variance, the influence of micromechanical parameters on macroscopic mechanical properties is quantified, and a parameter prediction model is constructed using an intelligent dynamic regression selection mechanism, significantly improving the efficiency and accuracy of micromechanical parameter calibration. The results show that the macroscopic elastic modulus E is primarily controlled by the effective modulus (E¯), stiffness ratio (k), and particle size ratio (Rmax/Rmin), following a linear relationship. The influence of the particle size ratio decreases significantly once it exceeds a threshold value. The macroscopic uniaxial compressive strength (UCS) is dominated by cohesion (c¯) and tensile strength (σ¯c), exhibiting a polynomial relationship, where a stronger synergistic effect is generated when both parameters are at higher levels. Poisson’s ratio (μ) is significantly correlated only with the stiffness ratio (k), following a logarithmic relationship. An iterative correction method for micromechanical parameter calibration is proposed. The errors between the three groups of simulation results and laboratory test results are all less than 10%, and the crack distribution patterns show a high degree of consistency. The findings of this study provide a theoretical foundation and technical means for exploring the mechanical behavior and damage mechanism of moderately consolidated sandstones.

Applied SciencesVol. 15(13)
China University of Petroleum, Beijing (CN)
Openalex Percentile: Top 84%
Rock Mechanics and Modeling
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