Analysis of the vibration characteristics of tail beam of the hydraulic support under random coal gangue particle slip conditions

• Published in: PloS one 2022-06, Vol.17 (6), p.e0269865-e0269865
• Main Authors: Wan, Lirong, Wang, Jiantao, Ma, Dejian, Zeng, Qingliang, Li, Zhaoji, Yang, Yang
• Format: Article
• Language: English
• Subjects: Automation; Coal; Coal mining; Computer and Information Sciences; Dielectric properties; Engineering and Technology; Finite element method; Frequency domain analysis; Gangue; Hydraulics; Identification; Neural networks; Physical Sciences; R&D; Research & development; Research and Analysis Methods; Rock masses; Rocks; Sensors; Slip; Tails; Vibration; Vibration analysis; Vibrations
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0269865

To study the influence of the gangue content of coal gangue particles on the vibration signal of the tail beam under sliding condition, this paper combines three-dimensional(3D) laser scanning technology with the finite element method, establishes a finite element model of the real shape of coal gangue particles and the hydraulic support in top coal caving in LS-DYNA, analyzes the influence of gangue content on some characteristics of the acceleration signal on the tail beam in the time and frequency domains, and then studies the influence of the size and total mass of the rock, and the angle of the tail beam on the characteristics. The following conclusions are obtained: when the coal gangue particles slip on the tail beam, an increase in gangue content significantly improves the effective value of the acceleration signal of the tail beam in the time domain and the average power and average amplitude in the frequency domain. With different sizes, total masses, and tail beam angles, the increase in gangue content always causes an increase in acceleration signal characteristics. In terms of the influence of various factors on the same gangue content, at the same total mass, the larger the rock mass size is, the faster the characteristic value increases with the increase in gangue content. The greater the total mass, the greater the value of the acceleration signal characteristics. A smaller angle between the tail beam and the ground increases the value of each characteristic. The results of this study provide a reference for further research on coal gangue identification based on vibrations.