Application of a one-dimensional large-strain consolidation model to a full-scale tailings storage facility. (April 2018)
- Record Type:
- Journal Article
- Title:
- Application of a one-dimensional large-strain consolidation model to a full-scale tailings storage facility. (April 2018)
- Main Title:
- Application of a one-dimensional large-strain consolidation model to a full-scale tailings storage facility
- Authors:
- Agapito, Luis Angel
Bareither, Christopher A. - Abstract:
- Highlights: Case study of consolidation within a full-scale copper tailings impoundment. Model comparision to measurements of tailings density and impoundment elevation. Tailings density predictions yielded coefficients of determination as high as 0.93. 1-D modeling can yield accurate estimates of density and elevation for design. Abstract: The objective of this study was to evaluate applicability of a commercially-available, one-dimensional (1-D) large-strain consolidation model to predict mine tailings consolidation in a full-scale tailings storage facility (TSF). Data pertaining to tailings production, cyclone operation time, impoundment height, and impoundment volume were made available for a full-scale copper mine TSF. A numerical model was applied to predict tailings consolidation for two considerations: Design Assessment – based on design estimates, and Operation Assessment – based on actual operational data. Comparison between actual average tailings dry density (ρd ) during the first 4 yr of operation and predicted ρd yielded coefficients of determination ( R 2 ) as high as 0.81 for the Operation Assessment and 0.93 for the Design Assessment. Predictions of tailings height for both assessments also agreed well with actual impoundment heights for the first 6 yr of operation. A procedure was developed to predict average ρd of a full-scale TSF that includes (i) estimating TSF volume based on predicted impoundment height and (ii) using TSF volume with dry tailings massHighlights: Case study of consolidation within a full-scale copper tailings impoundment. Model comparision to measurements of tailings density and impoundment elevation. Tailings density predictions yielded coefficients of determination as high as 0.93. 1-D modeling can yield accurate estimates of density and elevation for design. Abstract: The objective of this study was to evaluate applicability of a commercially-available, one-dimensional (1-D) large-strain consolidation model to predict mine tailings consolidation in a full-scale tailings storage facility (TSF). Data pertaining to tailings production, cyclone operation time, impoundment height, and impoundment volume were made available for a full-scale copper mine TSF. A numerical model was applied to predict tailings consolidation for two considerations: Design Assessment – based on design estimates, and Operation Assessment – based on actual operational data. Comparison between actual average tailings dry density (ρd ) during the first 4 yr of operation and predicted ρd yielded coefficients of determination ( R 2 ) as high as 0.81 for the Operation Assessment and 0.93 for the Design Assessment. Predictions of tailings height for both assessments also agreed well with actual impoundment heights for the first 6 yr of operation. A procedure was developed to predict average ρd of a full-scale TSF that includes (i) estimating TSF volume based on predicted impoundment height and (ii) using TSF volume with dry tailings mass to compute ρd . The main finding was that the modeling of gradual tailings deposition via a 1-D large-strain consolidation model can provide a reliable prediction of tailings height and capacity during TSF operation. … (more)
- Is Part Of:
- Minerals engineering. Volume 119(2018)
- Journal:
- Minerals engineering
- Issue:
- Volume 119(2018)
- Issue Display:
- Volume 119, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 119
- Issue:
- 2018
- Issue Sort Value:
- 2018-0119-2018-0000
- Page Start:
- 38
- Page End:
- 48
- Publication Date:
- 2018-04
- Subjects:
- Consolidation -- Large-strain -- Mining -- Modeling -- Tailings
Mines and mineral resources -- Periodicals
Ressources minérales -- Périodiques
Mines and mineral resources
Periodicals
Electronic journals
622 - Journal URLs:
- http://www.sciencedirect.com/science/journal/08926875 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.mineng.2018.01.013 ↗
- Languages:
- English
- ISSNs:
- 0892-6875
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5790.678000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5950.xml