Work

Coal–Rock Catastrophic Collapse: Precursors Based on AE and Fiber Bundle Models

Year: 2024

Type: article

Abstract: This paper proposes a new precursor for monitoring coal–rock dynamic disasters based on a fiber bundle model (FBM), which has been validated in the study of material fracture and critical phenomena. First, the FBM was simulated using the Monte Carlo method to analyze the variations of force and energy. The derivative of energy was identified as a precursor characteristic for model failure. The acoustic emission (AE) features of coal–rock under uniaxial compression were also analyzed, and a constitutive model for coal–rock damage evolution under uniaxial compression was established using AE ringing count. Furthermore, the energy derivative was calculated using the constitutive model to verify the simulation results and propose a new precursor indicator for coal–rock collapse. The research results provide useful guidance for preventing coal mine dynamic disasters.

Source: International Journal of Geomechanics

DOI: 10.1061/ijgnai.gmeng-9857

Authors: Gang Jing, Giuseppe Lacidogna, Yixin Zhao, Pedro Marin Montanari, Boris Nahuel Rojo Tanzi, Ignacio Iturrioz

Institutions: China University of Mining and Technology, China University of Mining and Technology - Beijing, Politecnico di Torino, Universidade Federal do Rio Grande do Sul

Language: English

Topic: Rock Mechanics and Modeling

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Politecnico di Torino, National Natural Science Foundation of China, China Scholarship Council

Awards: G1816584031, G3524802595, G7526183108