Local deformation evolution and instability prediction of mining slopes based on GB-SAR
In order to improve the slope monitoring effect and instability prediction ability of ground-based synthetic aperture radar(GB-SAR),a ground-based radar was installed in a limestone mine in Guangdong,and the field monitoring experi-ments were conducted.Based on the geological conditions and monitoring data of mine,the deformation evolution characteris-tics of different types of rock masses were studied.According to the deformation characteristics,the monitoring data of the maximum displacement point was selected for instability prediction using the reciprocal velocity method.By analyzing the mo-nitoring data of typical cases,the algorithm of the reciprocal speed method was optimized,and then the experimental data of this mine was studied.The results show that by analyzing the local displacement differences in the deformation map of the ra-dar 3D model,the deformation and failure mode of the slope rock mass can be preliminarily determined.Appropriately in-creasing the moving time period C of the moving average filtering method can detect the disaster signs earlier and better iden-tify the accelerated deformation stage and critical sliding stage of the rock mass.The research results can provide reference for the landslide prediction based on radar.