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Progress with empirical performance charting for confident selection of ground support in seismic conditions
- Source :
- Mining Technology. 121:192-203
- Publication Year :
- 2012
- Publisher :
- Informa UK Limited, 2012.
-
Abstract
- The methods available for estimating dynamic-capable ground support requirements need to contend with the extreme variability of the mining environment in dynamic conditions, and uncertainties in knowledge of seismic-related data. The site geotechnical engineer, with the task of selecting a ground support scheme, is searching for a sufficient engineering result in the face of this variability and uncertainty. While knowledge has progressed rapidly in the field, it is not yet possible to have full confidence in mechanistic selection methods because they depend on various assumptions, and do not cater for variability and uncertainty in operational mining. The empirical chart approach by contrast bypasses many assumptions and accommodates the variability, so it can stand as an operational tool. The empirical approach in this paper is based on underground observations of seismic damage and the performance of ground support at three Australian mines. It defines working relationships between peak partic...
- Subjects :
- Scheme (programming language)
Engineering
business.industry
General Engineering
Contrast (statistics)
Geology
Geotechnical Engineering and Engineering Geology
Ground support
Machine learning
computer.software_genre
Industrial engineering
Field (computer science)
Task (project management)
Chart
General Earth and Planetary Sciences
Seismic damage
Artificial intelligence
business
computer
Selection (genetic algorithm)
General Environmental Science
computer.programming_language
Subjects
Details
- ISSN :
- 17432863 and 14749009
- Volume :
- 121
- Database :
- OpenAIRE
- Journal :
- Mining Technology
- Accession number :
- edsair.doi.dedup.....8c8472570cfbd4133e27ed84c9717259
- Full Text :
- https://doi.org/10.1179/1743286312y.0000000013