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Ground support design for dynamic loading conditions: A quantitative data-driven approach based on rockburst case studies
There are considerable challenges associated with the design of ground support for seismically-active underground mines. It is extremely difficult to establish the demand on ground support as well as the capacity of a ground support system. The resulting dynamic or impact loads caused by mining-induced seismicity are difficult to anticipate and quantify. The performance of a ground support system is defined by the load distribution and interaction between several reinforcement and surface support elements. Consequently, the design of ground support in seismically-active mines tends to evolve, or be modified based on qualitative assessments of perceived performance or response to significant seismic events or rockbursts. This research is motivated by a need to provide quantitative and data-driven design guidelines for ground support systems subjected to dynamic-loading conditions. Rockburst data were collected from three deep and seismically-active underground mines in the Sudbury basin in Canada. The constructed database comprises 209 seismic events that resulted in damage to mine excavations and ground support. These events were associated with damage at 324 locations within the three mines. The developed ground support design strategy, based on these documented case studies, identifies areas where the use of dynamic or enhanced support should be employed. The developed design methodology provides guidelines for the zoning of mine locations in which installation of enhanced support is recommended, the specifications for an optimal ground support system, and the timing or sequence of installation. Keywords: Ground support design, Mining-induced seismicity, Rockburst
Ground support design for dynamic loading conditions: A quantitative data-driven approach based on rockburst case studies
There are considerable challenges associated with the design of ground support for seismically-active underground mines. It is extremely difficult to establish the demand on ground support as well as the capacity of a ground support system. The resulting dynamic or impact loads caused by mining-induced seismicity are difficult to anticipate and quantify. The performance of a ground support system is defined by the load distribution and interaction between several reinforcement and surface support elements. Consequently, the design of ground support in seismically-active mines tends to evolve, or be modified based on qualitative assessments of perceived performance or response to significant seismic events or rockbursts. This research is motivated by a need to provide quantitative and data-driven design guidelines for ground support systems subjected to dynamic-loading conditions. Rockburst data were collected from three deep and seismically-active underground mines in the Sudbury basin in Canada. The constructed database comprises 209 seismic events that resulted in damage to mine excavations and ground support. These events were associated with damage at 324 locations within the three mines. The developed ground support design strategy, based on these documented case studies, identifies areas where the use of dynamic or enhanced support should be employed. The developed design methodology provides guidelines for the zoning of mine locations in which installation of enhanced support is recommended, the specifications for an optimal ground support system, and the timing or sequence of installation. Keywords: Ground support design, Mining-induced seismicity, Rockburst
Ground support design for dynamic loading conditions: A quantitative data-driven approach based on rockburst case studies
Philippe Morissette (Autor:in) / John Hadjigeorgiou (Autor:in)
2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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Elsevier | 2019
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