This study conducts a comprehensive stability assessment of active overburden(OB)dump slopes in the Raniganj coalfield,India.Evaluating dump stability,delineating critical zones,estimating failure probability,and pred...This study conducts a comprehensive stability assessment of active overburden(OB)dump slopes in the Raniganj coalfield,India.Evaluating dump stability,delineating critical zones,estimating failure probability,and predicting OB failure runout remain challenging under geo-mining conditions.To address these challenges,an integrated methodology was employed–combining unmanned aerial vehicle(UAV)-based remote sensing,3D modelling,and advanced hybrid numerical simulations.This approach enabled the assessment of slope stability,the identification of failure-prone zones,the estimation of failure probability under static and seismic conditions,and the analysis of OB failure runout distances to determine safe working limits.UAV photogrammetry was used to develop a high-resolution 3D topographic model of the dump,accurately capturing its structural and geometric features.Numerical simulation results indicate that dump slopes remain stable under gravitational loading but show a significant reduction in stability when subjected to seismic excitation,with horizontal seismic coefficients ranging from 0.05 to 0.16.Furthermore,the findings highlight that spatial variability in OB material considerably influences dump stability.Runout analysis of OB dump slope suggests the necessity of a minimum safe working distance of 50 m from the dump toe.This integrated framework demonstrates a reliable and efficient procedure for large-scale active dump stability monitoring.展开更多
基金funding from the Ministry of Education,Government of India,under SPARC Project No.2916.“Micromechanical Simulation of Overburden Dump Slope under Field Geo-Mining Conditions”.
文摘This study conducts a comprehensive stability assessment of active overburden(OB)dump slopes in the Raniganj coalfield,India.Evaluating dump stability,delineating critical zones,estimating failure probability,and predicting OB failure runout remain challenging under geo-mining conditions.To address these challenges,an integrated methodology was employed–combining unmanned aerial vehicle(UAV)-based remote sensing,3D modelling,and advanced hybrid numerical simulations.This approach enabled the assessment of slope stability,the identification of failure-prone zones,the estimation of failure probability under static and seismic conditions,and the analysis of OB failure runout distances to determine safe working limits.UAV photogrammetry was used to develop a high-resolution 3D topographic model of the dump,accurately capturing its structural and geometric features.Numerical simulation results indicate that dump slopes remain stable under gravitational loading but show a significant reduction in stability when subjected to seismic excitation,with horizontal seismic coefficients ranging from 0.05 to 0.16.Furthermore,the findings highlight that spatial variability in OB material considerably influences dump stability.Runout analysis of OB dump slope suggests the necessity of a minimum safe working distance of 50 m from the dump toe.This integrated framework demonstrates a reliable and efficient procedure for large-scale active dump stability monitoring.
