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Proceedings of the International Workshop on Rock Mass Classification in Underground Mining by Mark, Christopher; Pakalnis, Rimas; Tuchman, Robert J. (Eds.) is a nonfiction available to read on EtoBox.
What is Proceedings of the International Workshop on Rock Mass Classification in Underground Mining about?
Compiled by the U.S. Dept of Health and Human Services, CDC/NIOSH Office of Mine Safety and Health Research, the 2007 proceedings of the International Workshop on Rock Mass Classification in Underground Mining contain 16 invited papers from nine countries, reflecting the international depth and breadth of current practice. Rock mass classification is widely used throughout the underground mining industry-in both coal and hard-rock mines. It is used in all stages of the mining process, from site characterization to production operations. The goal of the International Workshop on Rock Mass Classification in Underground Mining was to provide a forum for leading practitioners of rock mass classification to come together and share their methods and experiences with the technique. Applications in both hard-rock and coal mining are well represented. Content: Front Matter Unit of Measure Abbreviations Used in This Report Table of Contents Abstract 1. Rock Mass Characterization for Excavations in Mining and Civil Engineering 2. Mechanized Excavability Rating for Hard-Rock Mining 3. Rock Mass Characterization of Primary Copper Ore for Caving at the EL Teniente Mine, Chile 4. Stope
Who reads Proceedings of the International Workshop on Rock Mass Classification in Underground Mining?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Mark, Christopher; Pakalnis, Rimas; Tuchman, Robert J. (Eds.)
- Publisher
- U.S. Department of Health and Human Services, CDC/NIOSH Office of Mine Safety and Health Research
- Published
- 2004
- Language
- EN
- ISBN
- 9781615839643
- Category
- nonfiction
- Subjects
- Science, Chemistry, Stem
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