• Login
    View Item 
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Technological and Environmental Innovations for Sustainable Mining Operations

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    azu_etd_18064_sip1_m.pdf
    Size:
    6.028Mb
    Format:
    PDF
    Download
    Author
    Park, Junhyeok
    Issue Date
    2020
    Keywords
    Dust Control
    Mine-to-Mill Optimization
    Mining
    Ore Identification
    Sustainable Mining Operation
    Tailings Storage Facility (TSF)
    Advisor
    Kim, Kwangmin
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    In the modern mining industry, sustainable mine operation becomes an inevitable option. Facing lower ore grade, more complex ore deposit, unstable commodity market, and strict regulations, mining corporates must find the solution to make their portfolio economically attractive. One of the biggest challenges for mine operation is how to improve operational efficiency under the circumstance of high uncertainties. These higher uncertainties originate from the variability of geological material and human intervention in the decision-making process. Advances in technologies allow the mine to operate under more environmentally friendly and socially responsible scenarios within a scheme of process optimization and cost-reduction. This dissertation investigates some innovative technological applications for sustainable mining operations. Four specific aims are closely connected and integrated into the dissertation within the boundary of two perspectives: 1) technological applications for economic sustainability based on Mine-to-Mill optimization and 2) environmental application for socio-ecological sustainability by reducing the dust generation at the tailings storage facilities (TSFs). The first article Use of drilling performance to improve rock-breakage efficiencies: A part of mine-to-mill optimization studies in a hard-rock mine explains a part of the ore characterization stage, rock-breakage characterization, in the Mine-to-Mill optimization scheme. This study proposed a prediction model of rock-breakage characteristics such as tensile strength and Bond Work Index (BWI) based on blasthole drilling performance. The adjusted penetration rate (APR) was introduced to normalize the raw data from measurement while drilling (MWD). Based on the results of a series of laboratory experiments, the prediction models for rock-breakage efficiency during crushing and grinding were established. The result of this study can expand to field application by showing the thematic map of downstream energy consumption using the APR from blasthole drilling. The second article Quantification of rock mass weathering using spectral imaging illustrates a part of the ore characterization stage in the Mine-to-Mill optimization scheme in terms of rock mass structural characteristics. This study proposes an innovative method, narrow-band multispectral (NBMS) imaging, to quantify the expected hazard on mine slopes. This study aims to delineate the weathered area of the rock mass, which has been considered as an important factor in slope stability and blast fragmentation. Based on the band-ratio approach with visible and near-infrared (VNIR) hyperspectral imaging, the best configurations of spectral bands were determined. The quantified weathering level from NBMS imaging was integrated into the pre-existed rock mass rating system such as the geological strength index (GSI). The third article Estimation of Fines Generation in Blasting Using Dynamic rock properties and Near-Field PPV Damage Model addresses a simple quantification of fines generation in blast fragmentation. This study proposes an approach to evaluate the size of blast fragmentation based on strain wave propagation theory and dynamic rock properties. The finer blast fragmentation was assumed to be estimated from the crushed zone model (CZM) where the rock is failed by excessive compressive stress. The volume of fines generation under the four different scenarios by rock and explosive types were calculated based on the Split Hopkinson Pressure Bar (SHPB) experiment and the proposed Near-Field PPV model. This case study indicated that the dynamic PPV model can provide a rough estimate of fines generation for given dynamic rock properties and blast design parameters. The fine prediction using the PPV model would be practical in that it uses PPV, the most common measure at the mining site. The fourth article Tailings Storage Facilities (TSFs) Dust Control Using Biocompatible Polymers describes technological innovation that contributes to sustainability in the environmental sector. This study examined the effectiveness of biocompatible polymers as a dust suppressant on various sources in upstream-type TSF of an open-pit copper mine. From a laboratory wind tunnel to field-scale blowing test, three different scales of experiment observed that the amount of dust generation when applying the polymer has been significantly reduced. The results found that the biocompatible polymer reduces up to 90% of dust generation and reduces the volume of desiccation cracks significantly.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Mining Geological & Geophysical Engineering
    Degree Grantor
    University of Arizona
    Collections
    Dissertations

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.