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Approach for determining micro-strength parameters of rock based on particle flow code.
Miao, Luli; Liu, Xinrong; Fu, Yan.
Afiliación
  • Miao L; School of Civil Engineering, Chongqing University, Chongqing, 400045, China. MiaoGeo@outlook.com.
  • Liu X; School of Civil Engineering, Chongqing University, Chongqing, 400045, China. liuxrong@126.com.
  • Fu Y; School of Construction Management and Real Estate, Chongqing University, Chongqing, 400045, China.
Sci Rep ; 14(1): 11230, 2024 May 16.
Article en En | MEDLINE | ID: mdl-38755400
ABSTRACT
Discrete Element Method (DEM) has been successfully utilized to model rock behavior based on particle flow code (PFC), which is extensively employed in solving various problems related to rock engineering and geomechanics. Therefore, a convenient method for selecting appropriate microparameters of PFC for model generation is necessary. The present study aims to develop a novel approach that calculates proper micro-strength parameters for the contact bond model (CBM). Firstly, based on Plackett-Burman (PB) design, qualitative research is conducted and it is found that the main factors that influence the Brazilian tensile strength is microscopic tensile strength. We analyzed the stress conditions of a Brazilian disc's vertical diameter using both continuum models and DEM. From this analysis, we establish a theoretical relationship between rock tensile strength and micro-strength parameters. Subsequently, a large number of numerical Brazilian tests were conducted to obtain the statistical relationship between the geometric parameters of balls, micro-strength parameters and the Brazilian tension strength. The results of the numerical simulation were then used to refine the theoretical equation mentioned above, resulting in a modified equation for rock tensile strength and micro-strength parameters. Finally, after verification, we confirm the feasibility of the method in this paper.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article