Research on multi-source information responses and instability warning in the deformation and failure process of coal and rock

In order to study the multi-parameter precursor information in the damage destruction process of coal rock. In this paper, based on the independently designed integrated acoustic-electrical-wave test system for the whole process of rupture instability of loaded coal rock body, we carried out the simultaneous testing and analysis of multi-source physical information, such as acoustic emission, ultrasonic wave velocity, resistivity and so on, during the damage process of uniaxial compression instability of different types of coal rock samples, to explore the intrinsic connection of the precursor information of acoustic emission, wave velocity, resistivity and so on during the damage process of coal rock body rupture and instability and to put forward a precursor early warning model of coal rock damage based on the fusion of multi-source information. The results show that the response law of acoustic emission signals reflects the breeding and development process of internal damage deterioration of coal rock samples. The macro wave velocity change characteristics can effectively reflect the development of internal cracks and pores in the coal rock. The change law of apparent electrical resistivity of the loaded coal rock body has a better correspondence with the stress state of the coal rock body, which can better reflect the internal damage of the coal rock body. The proposed model is to integrate acoustic emission, wave velocity, resistivity and other precursor information into a BP neural network as a carrier, fusing acoustic emission, ultrasonic and apparent resistivity and other multi-source information, coal rock damage destabilization precursor warning model is proposed.