Abstract

The objective of a dynamic ground support system is to manage excavation damage associated with rockburst events.  To achieve this objective, a dynamic support system must be engineered to withstand the unique loading conditions imparted in a high-stress, burst-prone environment.  The process of defining those unique loading conditions focuses on identifying the expected failure mechanisms and estimating the expected damage intensity and failure severity to quantify the load demand that may be imparted onto the support system. Identification of the maximum probable “Design Event” is a critical input parameter for support demand assessments in dynamic ground support system design.  Defining dynamic loading conditions unique to probable “Design Events” requires detailed seismic data analyses.  Using a case study from a deep Canadian Mine, seismic data analyses are engaged to identify impacting seismic response parameters, which are then applied to seismic domain delineation.  Frequency-magnitude trends (and associated b-value analyses) are then evaluated in domained areas to define the “Design Events”. Categorization of the seismic hazard classes relies on the explicit “Design Events” which deliver support demand input values necessary for optimizing dynamic ground support design. Site-specific seismic data analyses deliver optimum load demand parameters appropriate for achieving an engineered dynamic ground support system design, effectively managing seismic hazards safely and economically.