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Discrete element modeling method for anisotropic mechanical behavior of biotite quartz schist based on mineral identification technology
https://orcid.org/http://orcid.org/0000-0002-5432-9587
Accurately representing the rock structure is a fundamental requirement for ensuring the precision of discrete element simulations. A modeling method that uses mineral identification technology to reflect the actual arrangement of minerals was designed based on particle flow code (PFC). The method uses variations in mineral physical properties and applies gamut clustering analysis to identify, extract, and classify mineral regions. The discrete element model is then generated by importing mineral boundary location data into the PFC. This method was employed to simulate the directional arrangement of minerals in biotite quartz schist and to conduct Brazilian splitting simulation experiments under different schistosity angles. The results show that as the schistosity angle increased, the influence of schistosity on rock specimen tensile strength diminished, and the final fracture morphology of rock specimens transited from linear to bow-shaped and then back to linear. In the process of micro-fracturing in rock specimens, the number of shear cracks was governed by the schistosity angle, peaking at 22.5°. The simulation results aligned with the laboratory tests regarding mechanical parameters, micro-fracturing processes, and the ultimate micro-fracturing morphology. This consistency highlights the effectiveness of this approach for analyzing rock anisotropy. Observing the displacement field of rock particles during rock failure revealed that with an increasing schistosity angle, the direction of particle displacement shifted from within the matrix plane to across the matrix plane, coinciding with increased particle displacement. From a microscopic viewpoint, this mechanism unveils how an increase in the schistosity angle diminishes the mechanical properties of the rock specimen.
Discrete element modeling method for anisotropic mechanical behavior of biotite quartz schist based on mineral identification technology
https://orcid.org/http://orcid.org/0000-0002-5432-9587
Accurately representing the rock structure is a fundamental requirement for ensuring the precision of discrete element simulations. A modeling method that uses mineral identification technology to reflect the actual arrangement of minerals was designed based on particle flow code (PFC). The method uses variations in mineral physical properties and applies gamut clustering analysis to identify, extract, and classify mineral regions. The discrete element model is then generated by importing mineral boundary location data into the PFC. This method was employed to simulate the directional arrangement of minerals in biotite quartz schist and to conduct Brazilian splitting simulation experiments under different schistosity angles. The results show that as the schistosity angle increased, the influence of schistosity on rock specimen tensile strength diminished, and the final fracture morphology of rock specimens transited from linear to bow-shaped and then back to linear. In the process of micro-fracturing in rock specimens, the number of shear cracks was governed by the schistosity angle, peaking at 22.5°. The simulation results aligned with the laboratory tests regarding mechanical parameters, micro-fracturing processes, and the ultimate micro-fracturing morphology. This consistency highlights the effectiveness of this approach for analyzing rock anisotropy. Observing the displacement field of rock particles during rock failure revealed that with an increasing schistosity angle, the direction of particle displacement shifted from within the matrix plane to across the matrix plane, coinciding with increased particle displacement. From a microscopic viewpoint, this mechanism unveils how an increase in the schistosity angle diminishes the mechanical properties of the rock specimen.
Discrete element modeling method for anisotropic mechanical behavior of biotite quartz schist based on mineral identification technology
https://orcid.org/http://orcid.org/0000-0002-5432-9587
Accurately representing the rock structure is a fundamental requirement for ensuring the precision of discrete element simulations. A modeling method that uses mineral identification technology to reflect the actual arrangement of minerals was designed based on particle flow code (PFC). The method uses variations in mineral physical properties and applies gamut clustering analysis to identify, extract, and classify mineral regions. The discrete element model is then generated by importing mineral boundary location data into the PFC. This method was employed to simulate the directional arrangement of minerals in biotite quartz schist and to conduct Brazilian splitting simulation experiments under different schistosity angles. The results show that as the schistosity angle increased, the influence of schistosity on rock specimen tensile strength diminished, and the final fracture morphology of rock specimens transited from linear to bow-shaped and then back to linear. In the process of micro-fracturing in rock specimens, the number of shear cracks was governed by the schistosity angle, peaking at 22.5°. The simulation results aligned with the laboratory tests regarding mechanical parameters, micro-fracturing processes, and the ultimate micro-fracturing morphology. This consistency highlights the effectiveness of this approach for analyzing rock anisotropy. Observing the displacement field of rock particles during rock failure revealed that with an increasing schistosity angle, the direction of particle displacement shifted from within the matrix plane to across the matrix plane, coinciding with increased particle displacement. From a microscopic viewpoint, this mechanism unveils how an increase in the schistosity angle diminishes the mechanical properties of the rock specimen.
Discrete element modeling method for anisotropic mechanical behavior of biotite quartz schist based on mineral identification technology
Bull Eng Geol Environ
Bao, Han (author) / Rao, Zhicheng (author) / Lan, Hengxing (author) / Yan, Changgen (author) / Liu, Changqing (author) / Liu, Shijie (author)
2025-01-01
Article (Journal)
Electronic Resource
English
Anisotropy , Mineral identification , Schistosity , Discrete element method (DEM) , Brazilian splitting test Engineering , Resources Engineering and Extractive Metallurgy , Earth Sciences , Geotechnical Engineering & Applied Earth Sciences , Geoengineering, Foundations, Hydraulics , Geoecology/Natural Processes , Nature Conservation , Earth and Environmental Science
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