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Geomechcanical characteristics inferred from mine-scale rock mass behaviour
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-9175-7038
Queen’s University.
Itasca Consultants AB.
2017 (English)In: Deep Mining 2017: Eighth International Conference on Deep and High Stress Mining / [ed] J Wesselo, Perth, Australia: Australian Centre for Geomechanics, 2017, p. 555-568Conference paper, Published paper (Refereed)
Abstract [en]

As with many other mining environments, the frequency of ground falls at Luossavaara-Kiirunavaara AB’s Kiirunavaara Mine has increased with the progression of mining depth. These instabilities, which are unevenly distributed throughout the rock mass, have failure modes primarily including spalling, strainbursting, structurally controlled failure, and combinations thereof. Although caused in part by the mine-wide stress redistribution and geomechanical features of the rock mass, the exact manner in which these factors control the spatial distribution and characteristics of the ground falls not well understood. The objective of this paper is to describe the development of a geomechanical basis for how and why the distribution and characteristics of the ground falls differ throughout the rock mass. Spatial and temporal characteristics of ground falls at the mine-scale were analysed using two main forms of data: 1) a database of ground fall events, and 2) laser imaging data. A methodology was developed specifically for the use of three-dimensional laser imaging data for mine-scale analysis of overbreak and falls of ground. In conjunction with geomechanical characterisation of the rock mass, these results can be used to assist with: identification of areas with higher risk of instabilities, production planning from an induced stress management perspective, location-based support system design in advance of drifting, evaluating the performance of drift development practice in different geomechanical conditions, and data collection and usage recommendations.

Place, publisher, year, edition, pages
Perth, Australia: Australian Centre for Geomechanics, 2017. p. 555-568
Keywords [en]
rockfalls, overbreak, geomechanical environment, laser imaging data, data collection
National Category
Other Engineering and Technologies Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-65277ISBN: 978-0-9924810-6-3 (electronic)OAI: oai:DiVA.org:ltu-65277DiVA, id: diva2:1135480
Conference
8th International Conference on Deep and High Stress Mining (Deep Mining 2017), Perth, Australia, 28-30 March 2017
Available from: 2017-08-23 Created: 2017-08-23 Last updated: 2017-11-24Bibliographically approved
In thesis
1. Listening to the story of the rock mass: The integration of conventional and unconventional data to understand rock mass behaviour at the Kiirunavaara Mine
Open this publication in new window or tab >>Listening to the story of the rock mass: The integration of conventional and unconventional data to understand rock mass behaviour at the Kiirunavaara Mine
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The need to understand rock mass behaviour has never been greater; as mining globally progresses deeper to extract the precious resources humankind needs to maintain and forward our lives, we encounter rock behaviours associated with deep mining. These environments typically experience seismicity (including fault slip), rock bursting, strain bursting, spalling, aseismic movement along pre-existing discontinuities, and ground falls. These behaviours can have significant consequences to an operation’s safety and profitability. An understanding of the rock mass enables risk mitigating design.

However, a number of hindrances exist along the path to gaining this understanding. Limited information in the literature is available on which data to collect, the most appropriate analysis techniques, and how one combines varied data sources into a mine-scale understanding of the rock mass. In essence, we do not yet understand how to listen to the story of the rock mass. This thesis explores these research topics and develops and extends techniques and methodologies to address these issues. Data from Luossavaara-Kiirunavaara AB’s (LKAB) Kiirunavaara Mine was used, however a strong focus was given to developing general methodologies that can be applied to many mining environments.

The typical situation at most mine sites is one where many forms of data exist, a subset of which is conventional rock mechanics data. These data typically include, for example, laboratory testing for strength and stiffness of geological units, rock mass characterization from underground mapping, geological and geomechanical core logging, and positions and orientations of mapped discontinuities from underground mapping and/or oriented core logging. These data are often used for empirical design. It is common with particularly damaging seismic and/or ground fall events that additional data be acquired from underground damage mapping, but this information is rarely used on a larger scale. However, there is a subset of data that tends to be overlooked from a geomechanical perspective, even though the potential exists that this data can give us information about the characteristics of the rock mass. In the case of the Kiirunavaara Mine, this includes seismic data (including tomographic velocity structure), a database of information regarding ground falls, and laser imaging data.

A variety of conventional and unconventional data from the Kiirunavaara Mine were analysed using existing, and extensions of existing, analysis techniques. A 3-D geomechanical model was developed, incorporating geological and geomechanical core logging data, underground mapping data, and laboratory testing data. The resulting mine-scale model showed some particularly interesting results, including 1) a very large variation in intact rock strength within each statistical grouping of geological units, combined with much overlap between the strengths of geological units, and 2) a 3-D model of volumes of clay alteration built on geological core logging data calibrated favourably to data of underground mapping of clay. Unconventional data sources were also analysed, in particular the use of behavioural data to infer characteristics of the rock mass. Spatial and temporal patterns of ground falls were evaluated, alongside spatial patterns in overbreak, which were identified using new, mine-scale analysis techniques of laser scanning data.

Interestingly, correlations were apparent when comparing the analyses of distinct and separate data sources. Ground falls were concentrated in the intact rock between the clay volumes. The rock quality designation (RQD) had lower values in the same volume. Seismicity in the area was concentrated in the intact rock, with very few events in the clay volumes. 3-D velocity tomography models (developed by another researcher within this project) showed 1) no correlation with the RQD model (this result may highlight a limitation of scaling RQD data beyond it’s intended use), and 2) possible correlation with the clay volumes.

A methodology was developed using numerical stress analysis to identify, at an early stage of investigation, if a volumetric feature is of significance to seismic rock mass behaviour. With so much surmounting evidence that the clay volumes influence rock mass behaviour at the Kiirunavaara Mine, this feature was well-suited to be tested. Results showed that the clay volumes: 1) influence the mine-scale stress field, 2) have the potential to extend the volume of the rock mass which is expected to experience crack initiation (one underlying cause of seismicity), and 3) result in a stress field that enables slip along many of the orientations of mapped discontinuities (another underlying cause of seismicity).

Particularly valuable data were found to share the following characteristics: 3-D coverage, mine-scale, long-term, and multiple and distinct sources. It was important that the different data sources and their analyses led to the same conclusions even though they were separate and distinct. Unconventional data sources that were of particular use in this case include: spatial and temporal ground fall patterns and spatial patterns of seismicity. With further research, other unconventional data sources may show their value to rock mechanics analyses, such as spatial and temporal patterns of: seismicity, focal plane solutions from moment tensors, seismic stress inversion from moment tensors, overbreak, and possibly even tomography (the lack of strong correlation in this case may be specific to this environment and models used). Opening our minds to the possibilities, collaboration with experts in other fields, and a little creativity in our approach will help us in our quest to understand the stories of rock masses.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2017
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
urn:nbn:se:ltu:diva-65438 (URN)978-91-7583-959-2 (ISBN)978-91-7583-960-8 (ISBN)
Public defence
2017-11-06, A1547, Luleå Tekniska Universitet, Luleå, 10:00 (English)
Opponent
Supervisors
Available from: 2017-09-11 Created: 2017-09-11 Last updated: 2017-11-24Bibliographically approved

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