Statistical Modeling for Tailings Consolidation Using Index Properties

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dc.contributor.advisor Azam, Shahid
dc.contributor.author Paul, Arjun Chandra
dc.date.accessioned 2012-08-30T15:04:50Z
dc.date.available 2012-08-30T15:04:50Z
dc.date.issued 2011-12
dc.identifier.uri http://hdl.handle.net/10294/3546
dc.description A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in Environmental Systems Engineering,University of Regina. xv, 113 l. en_US
dc.description.abstract The extraction of mineral resources from the earth generates large volume of mine tailings which are usually disposed hydraulically in tailings pond. To minimize the environmental concerns associated with deposition of mine wastes and reclamation of the containment ponds, the tailings need to undergo an efficient consolidation. The main objective of this research was to develop statistical models for tailings consolidation using index properties based on data in the literature thereby, capturing physicochemical interactions. The first model was developed for groups of tailings (sedimentary clays, residual soils and oil sand tailings) and the second model was developed for all tailings. Results indicated that void ratio varied significantly at low effective stress (< 5 kPa) and high hydraulic conductivity (> 10 [negative superscript 6] cm/s) for sedimentary clays and residual soils, because physicochemical interactions are maximum under these conditions. For oil sand tailings, effective stress (σ') and hydraulic conductivity (k) were strongly correlated with void ratio due to relative homogeneity in material composition. The effect of process conditions on consolidation behavior was found to be negligible for this class of material. By converting void ratio to liquidity index and normalized void ratio, volume compressibility and hydraulic conductivity data in the literature merged for materials of each group even at low σ' and high k. This means that the newly developed relationships can better describe tailings behavior even at low σ' and high k. The volume compressibility coefficients (A, B) varied linearly with plasticity index (I[subscript p]) whereas the hydraulic conductivity coefficients (C, D) followed decreasing power law functions of I[subscript p]. Strong agreements between modeled data and measured data (published in the literature) were obtained for both void ratio (R[superscript2] = 0.98) and hydraulic conductivity (R[superscript2] = 0.99). en_US
dc.language.iso en en_US
dc.publisher Faculty of Graduate Studies and Research, University of Regina en_US
dc.subject.lcsh Tailings (Metallurgy)
dc.subject.lcsh Tailings dams
dc.subject.lcsh Mineral industries--Environmental aspects--Statistical methods
dc.subject.lcsh Mineral industries--Waste disposal--Statistical methods
dc.subject.lcsh Oil sands industries--Waste disposal--Statistical methods
dc.subject.lcsh Oil sands industries--Environmental aspects--Statistical methods
dc.title Statistical Modeling for Tailings Consolidation Using Index Properties en_US
dc.type Thesis en
dc.description.authorstatus Student en
dc.description.peerreview yes en
thesis.degree.name Master of Applied Science (MASc) en_US
thesis.degree.level Master's en
thesis.degree.discipline Engineering - Environmental Systems en_US
thesis.degree.grantor University of Regina en
thesis.degree.department Faculty of Engineering and Applied Science en_US
dc.contributor.committeemember Sharma, Satish
dc.contributor.committeemember Rahman, Magfur
dc.contributor.externalexaminer Henni, Amr
dc.identifier.tcnumber TC-SRU-3546
dc.identifier.thesisurl http://ourspace.uregina.ca/bitstream/handle/10294/3546/Paul_ArjunChandra_200288396_MASC_EVSE_Spring2012.pdf


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