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<p>Accurate determination of mechanical parameters in engineering rock masses is essential for assessing rock engineering projects. This study selected a hydropower station slope in Tibet and employed a novel method to acquire parameters for the complex jointed rock mass. Joint surface data were collected using drone photogrammetry and the statistical window method. The data were analyzed using SPSS, and a Discrete Fracture Network (DFN) was established. By integrating the DFN with rock blocks using synthetic rock mass technology, mechanical tests were conducted on equivalent rock masses at different scales using 3DEC. These tests investigated the size effect and challenges in parameter selection. The findings showed that the uniaxial compressive strength (UCS), elastic modulus, and Poisson's ratio of the jointed rock mass vary significantly with size. Within a certain range, the UCS and elastic modulus decrease with increasing model size, while Poisson's ratio increases. Comprehensive analysis determined the Representative Elementary Volume (REV) of the jointed rock mass to be 15&#xa0;m × 15&#xa0;m × 15&#xa0;m. At this REV scale, the UCS, elastic modulus, Poisson's ratio, cohesion, and internal friction angle were measured to be 31.94&#xa0;MPa, 9.72 GPa, 0.2653, 4.12&#xa0;MPa, and 54.46°, respectively. Given that the engineering scale of the hydropower station slope in the study area significantly exceeds the REV, the mechanical parameters derived at the REV scale can be directly used as equivalent parameters for the slope rock mass.</p>

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Size effect and parameter evaluation of jointed rock mass via discrete element method

  • 期刊论文

  • 发表日期：

    2025年8月2日

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  • Rui Zeng,
  • Feng Ji,
  • Zhuo Li,
  • Cheng-feng Wu,
  • Yu-peng Lu,
  • Jun-ling Ding

摘要

Accurate determination of mechanical parameters in engineering rock masses is essential for assessing rock engineering projects. This study selected a hydropower station slope in Tibet and employed a novel method to acquire parameters for the complex jointed rock mass. Joint surface data were collected using drone photogrammetry and the statistical window method. The data were analyzed using SPSS, and a Discrete Fracture Network (DFN) was established. By integrating the DFN with rock blocks using synthetic rock mass technology, mechanical tests were conducted on equivalent rock masses at different scales using 3DEC. These tests investigated the size effect and challenges in parameter selection. The findings showed that the uniaxial compressive strength (UCS), elastic modulus, and Poisson's ratio of the jointed rock mass vary significantly with size. Within a certain range, the UCS and elastic modulus decrease with increasing model size, while Poisson's ratio increases. Comprehensive analysis determined the Representative Elementary Volume (REV) of the jointed rock mass to be 15 m × 15 m × 15 m. At this REV scale, the UCS, elastic modulus, Poisson's ratio, cohesion, and internal friction angle were measured to be 31.94 MPa, 9.72 GPa, 0.2653, 4.12 MPa, and 54.46°, respectively. Given that the engineering scale of the hydropower station slope in the study area significantly exceeds the REV, the mechanical parameters derived at the REV scale can be directly used as equivalent parameters for the slope rock mass.