Ground preparation design encompasses problems of ground characterization, equipment selection and performance. Ground characterization has in the past been the subject of empirical diggability classification schemes based on case studies. A new system is proposed for evaluating the ease of excavation of different ground conditions, is put forward. This has been applied successfully in different field studies. While such empirical schemes are useful to mining design, there still remains a basic lack of understanding of machine-ground interaction in the excavation process. This will be essential for long term machine and method advancement. / This thesis reviews the approach and methodology adopted for the development of predictive digging models in mining. Past theoretical attempts to model soil-rock cutting processes are critically evaluated and an analytical digging model applicable to fragmented rock is proposed. Physical modelling studies, concentrating on the interaction between machine and spoil characteristics, are reported. These considered in particular the digging profile propagated by cable shovel operation, the impact of geotechnical parameters on the profile, and the efficiency of digging in fragmented rock. These were undertaken in a controlled laboratory environment based upon an instrumented scale model and photographic studies. The salient parameters influencing the efficiency of the digging processes are identified and a bucket filling model for cable shovels is proposed.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.41124 |
| Date | January 1993 |
| Creators | Hadjigeorgiou, John |
| Contributors | Scoble, M. J. (advisor) |
| Publisher | McGill University |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | application/pdf |
| Coverage | Doctor of Philosophy (Department of Mining and Metallurgical Engineering.) |
| Rights | All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated. |
| Relation | alephsysno: 001341387, proquestno: NN87868, Theses scanned by UMI/ProQuest. |
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