The Influence of Bedding-Plane Orientation on the Degradation Characteristics of a South African Waterberg Coal

Viljoen, Jacob; Campbell, Q.P.; Roux, M. Le; Hoffman, J.

doi:10.1080/19392699.2016.1143369

Cited by 1 publication

(1 citation statement)

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“…Tahmasebinia et al 41 proposed a new damage model between the rock and coal messes based on the modified thermomechanical continuous constitutive model, which can predict the possibility of coal burst. Viljoen et al 42 analyzed the impact of the internal structure of a coal sample on coal breakage based on impact experiments with coal particles.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of the dynamic distribution characteristics of the stress, strain and energy of coal mass under impact loads

Zhu

Fang

Zhang

et al. 2020

Sci Rep

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To research the dynamic response characteristics of coal mass under impact loads, based on LS-DYNA software, rigid body bars are simulated to impact coal mass under different speed conditions, and the dynamic distribution characteristics of the stress, strain and energy of coal mass are analyzed. The results demonstrate that (1) the peaks of the axial and radial stresses and strain on the central axis and the radial line obey the power function distribution; at the same position, the axial and the radial stress peaks are close, and the axial strain peak is from much larger than the radial strain peak to close to. (2) The axial and radial stresses generate tensile stresses in the axial and radial propagation directions, respectively, and the coal mass is prone to damage under tensile stress. (3) When the speed is large, the axial stress–strain curve is similar to that of the dynamic load experiment. The axial stress peak, axial strain peak, critical effective stress, critical time and secant modulus have a linear relationship with the velocity. (4) When the dynamic load is large, most of the energy is in the form of kinetic energy, and the total energy loss also increases.

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Section: Introductionmentioning

confidence: 99%