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Blast Movement Simulation using Modeling and Machine Learning (2023)

Estimating and optimizing rock movement during blasting is important for safety, minimizing material handling, reducing ore loss and dilution, and minimizing the environmental footprint. ITASCA used a hybrid approach utilizing FLAC3D, Machine Learning (ML), and PFC3D to model the whole dynamic process of rock blasting that involves explosive detonation, gas expansion, stress wave propagation, rock fragmentation and throw, and muckpile formation.

Modelling of “Leo” Slope Failure Using a Distinct-Element Modelling Approach (2022)

On May 2021, a slope failure called “Leo Failure” occurred at Bingham Canyon Mine, one of the world’s deepest open pit mine, for a total runout mass estimated at 21 MT. Extensive and comprehensive monitoring of the mine activities allowed to anticipate and record the event and prevent any labor or equipment damage.

Numerical calculations for the pre-dimensioning of the support lining in a ventilation shaft (2020)

A ventilation shaft in Germany is part of a former colliery and was put into operation in the late 19th century with a depth of approx. 600 m. Since the colliery was closed down, it has been part of the central water drainage system at the site, together with further shafts in the near distance. In the course of technical reconstruction measures, the shaft is to be converted from a ventilation shaft to a well shaft. For this purpose, the current diameter has to be expanded to a clearance of 3.3 m. The shaft, which was previously constructed with approx. 50 cm thick brick masonry, will be secured with a concrete shell after expansion. To evaluate the predimensioning of the shell, a numerical modeling of the secondary stress field is necessary.

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