https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 An experimental investigation of fragmentation occurrence and outcome in the context of rockfall https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38617 Wed 06 Mar 2024 15:26:08 AEDT ]]> Aggregate size and density after shearing, implications for dewatering fine tailings with hydrocyclones https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:278 Sat 24 Mar 2018 07:43:01 AEDT ]]> Some Notes on Granular Mixtures with Finite, Discrete Fractal Distribution https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47954 Mon 13 Feb 2023 14:13:55 AEDT ]]> Predicting the fragmentation survival probability of brittle spheres upon impact from statistical distribution of material properties https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39500 m) and the scale parameter (here, the critical kinetic energy). The model is based on theoretically-derived conversion factors used to turn the critical work required to fail disc samples in quasi-static indirect tension into the critical kinetic energy to cause failure of spheres at impact in drop tests. The mechanistic conversion factors specifically account for the shape and size of the specimens tested and the increase of strength under dynamic loading (strain rate effect). Three series of drop tests were conducted (on spheres of three different diameters) and complemented by extensive material characterisation testing in order to validate the novel predictive model. The variability of material properties was characterised, and it was found that the material strength found by the characterisation tests generally follows a Weibull form, but the survival probability distribution of the drop tests seems to be linear. The predicted conversion factors were first compared against their experimental counterparts before validating the prediction of survival probability of the spheres upon dynamic impact (in drop tests). It was found that it is possible to predict the survival probability of artificial rock of three different diameters (50 mm, 75 mm, 100 mm) and two different strengths upon impact solely from the statistical information coming from Brazilian tests and with an average relative error of less than 9%.]]> Fri 10 Jun 2022 14:46:30 AEST ]]>