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Composite paste barricade performance at Goldcorp Inc. Red Lake Mine, Ontario, Canada

2010; Taylor & Francis; Volume: 24; Issue: 2 Linguagem: Inglês

10.1080/17480930903016260

1748-0949

Paul Hughes, R. Pakalnis, Michael Hitch, Grant Corey,

Mineral Processing and Grinding

Abstract Appropriate strength barricades and fill fences are a necessary component of underhand cut and fill mining operations and stoping operations in general. These important structures are subject to a number of stresses and strains as a result of the deposition and curing of the backfill material. Parametric monitoring of fill fences gives the engineer the required data to predict not only the behaviour of the paste backfill as it is being deposited, but also the ability to predict the deformation and eventual failure of the barricade. A study was undertaken to determine the performance of the paste barricades at Goldcorp Inc.'s Red Lake Mine using real time instrumentation to monitor the stresses, strains and deformation of paste and paste barricades during placement. The barricades at the mine are a standardised barricade comprised of 10 cm of shotcrete applied to a rebar skeleton spaced nominally 60 cm apart. In total, eight fill barricades were instrumented to determine the behaviour of the paste during the loading. Complementing the eight barricade tests, an instrumented destructive test was carried out to determine the ultimate capacity of the composite barricade. It was determined that the paste backfill behaves as a Rankine-like soil in the initial stages of placement with an average coefficient of lateral earth pressure, K a, of 0.56. The destructive test determined that the yielding stress of a paste barricade is approximately 100 kPa. The results of the investigation have resulted in operational changes in the placement of paste at the mine. Keywords: paste backfillbarricade deformation and failurerankine behaviour Acknowledgements Financial support was provided by Goldcorp Ltd.' s Red Lake Mine and NSERC Industry Partnership Scholarship. The authors would like to acknowledge Rocscience for providing software and Yieldpoint for assistance with instrumentation. Thanks to the students who began and contributed a significant amount of work to this project – Josh Clelland, Ali Rana and Kathryn Dehn. Thanks are due to the workforce at the Red Lake Mine for their assistance throughout. Specifically thanks to Grant Corey, Boi Linh Van, Danielle Pelletier and Ray Wilkins.