There is a close
relationship between the electromagnetic radiation
(EMR) evolution and the stress state during loading of composite coal-rock.
In this research, the coal-rock EMR generation mechanism was studied
and the stress-EMR numerical model was established. Finite element
simulation and experiments were then used to verify their correctness,
and EMR characteristics, evolution law, and the corresponding relationship
between EMR and coal-rock state were studied in depth. The results
show that the deformation cycle of “load compression–deformation
release–load compression” occurs at coal-rock internal
fractures, which together with friction make the formation of coal-rock
alternating weak current sources, resulting in the EMR. In addition,
the fracture structure is similar to capacitors with time-varying
electric quantity and plate spacing. When the fracture is loaded,
it will generate approximately sinusoidal EMR pulses whose amplitude
is positively correlated with the degree of coal-rock damage. EMR
will be exponentially attenuated and distorted at the medium junction
when propagating, which does not affect signal characteristics. Meanwhile,
EMR quality within 1.0–2.5 mm outside coal-rock is high, whose
change is almost synchronous with source. EMR evolution has stages
during loading, whose characteristics are different in each stress
stage: In compaction and elastic stages, EMR remains stable for most
of the time except for the abrupt change of 1–3 mV/m at the
junction. In the yield, coal-rock transitions from elastic to plastic,
and both EMR and stress increase rapidly as fracture expands. In the
fracture stage, EMR maintains high and produces a peak that is synchronous
with the stress. After fracture, they drop and recover to stability.
The research results will help improve the basic theory of coal and
rock dynamic disasters and provide support for its prediction with
multi-information fusion, which will help reduce the adverse impact
of coal mine disasters on people’s lives and property.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.