This Research Topic is Volume II of a series. The previous volume can be found here:
Coal and Rock Dynamic Disasters: Advances of Physical and Numerical Simulation in Monitoring, Early Warning, and PreventionWith the soaring growth of global population and socioeconomy, energy consumption and demand has been rapidly rising, and coal would still remain a fundamental energy source for a long time into the future. Seeking deep coal resources becomes an inevitable trend due to the depletion of shallow coal resources. Deep mining of coal resources promotes socioeconomic development, whereas bringing a variety of security challenges. In deep underground, there is a significant risk increase in coal and rock dynamic disasters (CRDDs), owing to the changes in physical and mechanical properties of coal and rock. In this regard, it is of great importance and necessity to prevent and control CRDDs effectively and efficiently.
As typical natural geological materials, coal and rock have evident inhomogeneity and anisotropy, and manifest differences in strength, deformation, permeability, and other mechanical characteristics due to their various mineral compositions, porosity, and weak structural plane. Considering the complexity of coal and rock, it is essential to carry out laboratory experiments on macroscopic mechanical responses and microscopic fracture characteristics to identify precursor information and reveal evolution mechanisms of dynamic disasters. Yet by far less is known about the combined physical and numerical simulation on multi-scale CRDDs, which hinders the development of corresponding prevention and control technologies.
This Research Topic aims to initiate a global scientific and technological discussion on the cutting-edge advances of physical and numerical simulation in monitoring, early warning, and prevention of CRDDs. We welcome Original Research and Review articles addressing the following themes that include, but are not limited to:
• Physical and numerical simulation on mechanisms of CRDDs
• Numerical simulation on prediction of CRDDs
• Numerical simulation on prevention and control of CRDDs
This Research Topic is Volume II of a series. The previous volume can be found here:
Coal and Rock Dynamic Disasters: Advances of Physical and Numerical Simulation in Monitoring, Early Warning, and PreventionWith the soaring growth of global population and socioeconomy, energy consumption and demand has been rapidly rising, and coal would still remain a fundamental energy source for a long time into the future. Seeking deep coal resources becomes an inevitable trend due to the depletion of shallow coal resources. Deep mining of coal resources promotes socioeconomic development, whereas bringing a variety of security challenges. In deep underground, there is a significant risk increase in coal and rock dynamic disasters (CRDDs), owing to the changes in physical and mechanical properties of coal and rock. In this regard, it is of great importance and necessity to prevent and control CRDDs effectively and efficiently.
As typical natural geological materials, coal and rock have evident inhomogeneity and anisotropy, and manifest differences in strength, deformation, permeability, and other mechanical characteristics due to their various mineral compositions, porosity, and weak structural plane. Considering the complexity of coal and rock, it is essential to carry out laboratory experiments on macroscopic mechanical responses and microscopic fracture characteristics to identify precursor information and reveal evolution mechanisms of dynamic disasters. Yet by far less is known about the combined physical and numerical simulation on multi-scale CRDDs, which hinders the development of corresponding prevention and control technologies.
This Research Topic aims to initiate a global scientific and technological discussion on the cutting-edge advances of physical and numerical simulation in monitoring, early warning, and prevention of CRDDs. We welcome Original Research and Review articles addressing the following themes that include, but are not limited to:
• Physical and numerical simulation on mechanisms of CRDDs
• Numerical simulation on prediction of CRDDs
• Numerical simulation on prevention and control of CRDDs
