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Numerical simulation of roadway deformation and failure under different degrees of dynamic disturbance.
Jia, Ce; Li, Sheng; Fan, Chaojun; Rong, Hai; Yang, Lei; Pu, Ziang.
Afiliación
  • Jia C; College of Mining, Liaoning Technical University, Fuxin, 123000, China.
  • Li S; College of Mining, Liaoning Technical University, Fuxin, 123000, China. 13941811946@139.com.
  • Fan C; College of Mining, Liaoning Technical University, Fuxin, 123000, China.
  • Rong H; College of Mining, Liaoning Technical University, Fuxin, 123000, China.
  • Yang L; College of Mining, Liaoning Technical University, Fuxin, 123000, China.
  • Pu Z; College of Mining, Liaoning Technical University, Fuxin, 123000, China.
Sci Rep ; 12(1): 20017, 2022 11 21.
Article en En | MEDLINE | ID: mdl-36414697
Deformation and failure of the roadway surrounding rock under dynamic disturbance were explored, which is essential for the control of the surrounding rock. The impact of dynamic disturbance on the deformation and failure of the roadway surrounding rock was studied from a single factor perspective using numerical simulation software. The disturbance intensity, frequency, and time were determined to affect the deformation and plastic zone of the surrounding rock. Firstly, a multi-factor integrated study was achieved using an orthogonal experimental design, and the impact of the three factors on the deformation and plastic zone of the surrounding rock were studied by applying mean value and extreme difference. The results show that the degree of influence of deformation of the roof is time > intensity > frequency in order. The impact of the plastic zone volume is intensity > frequency > time in order. Finally, a multivariate regression model was established using multiple regression analysis. The P = 0 < 0.05 for the regression model is obtained by variance analysis, and the equation regression is significant, which can effectively predict the deformation and failure of the surrounding rock under dynamic disturbance.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plásticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plásticos Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: China