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Quantifying the influence of variations in rock mass properties on stope stability

Shnorhokian Shahé, Mitri Hani

Journal of Sustainable Mining

2022

Vol. 21, iss. 4

334--345

Variations in rock mass properties are well-established in rock mechanics and underground mining. The literature is replete with methods of assessing them and determining values that are used in design or numerical analysis. In this paper, a simplified 3D model is constructed for a tabular orebody in the Canadian Shield and instability is quantified using the ”brittle shear ratio” criterion to calculate the volume at risk. A 1-4-7 stope pillar sequence is implemented on four active levels, and three variations in the properties of the host formation are assessed. It is observed that the locations of ore at risk follow the formations of stope pillars and are then transferred to the sill pillars above and below. Instability in the footwall and the hanging wall is observed to be lesser in volume but remains persistent. With the allocation of weak properties to the host rock, at-risk volumes increase in the orebody, footwall, and hanging wall, and the reverse trend occurs with strong greenstone properties. It is concluded that the stress increase in the orebody is due to transfers from the weaker host rock, while that in the greenstone formation is due to the use of a lower compressive strength value.

U-Net based frames partitioning and volumetric analysis for kidney detection in tomographic images

Les Tomasz

Bulletin of the Polish Academy of Sciences. Technical Sciences

2021

Vol. 69, nr 3

art. no. e137051

This work presents an automatic system for generating kidney boundaries in computed tomography (CT) images. This paper presents the main points of medical image processing, which are the parts of the developed system. The U-Net network was used for image segmentation, which is now widely used as a standard solution for many medical image processing tasks. An innovative solution for framing the input data has been implemented to improve the quality of the learning data as well as to reduce the size of the data. Precision-recall analysis was performed to calculate the optimal image threshold value. To eliminate false-positive errors, which are a common issue in segmentation based on neural networks, the volumetric analysis of coherent areas was applied. The developed system facilitates a fully automatic generation of kidney boundaries as well as the generation of a three-dimensional kidney model. The system can be helpful for people who deal with the analysis of medical images, medical specialists in medical centers, especially for those who perform the descriptions of CT examination. The system works fully automatically and can help to increase the accuracy of the performed medical diagnosis and reduce the time of preparing medical descriptions.

Klasyczna analiza chemiczna – wspomnienie historyczne czy zajęcie dla hobbystów?

Ciba J.

LAB Laboratoria, Aparatura, Badania

2001

R. 6, nr 3