MétaCan
Menu
Back to cohort
Record W2755948968 · doi:10.2113/eeg-1891

Simulation of Tailings Flow Resulting From a Dam Breach Using Smoothed Particle Hydrodynamics

2017· article· en· W2755948968 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental and Engineering Geoscience · 2017
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsConcordia University
Fundersnot available
KeywordsCitationIconDownloadSmoothed-particle hydrodynamicsEngineeringLibrary scienceComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Research Article| August 24, 2018 Simulation of Tailings Flow Resulting from a Dam Breach Using Smoothed Particle Hydrodynamics Poulad Daneshvar; Poulad Daneshvar Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec H3G 2W1, Canada Search for other works by this author on: GSW Google Scholar Attila M. Zsaki Attila M. Zsaki 1 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec H3G 2W1, Canada 1Corresponding email: am.zsaki@concordia.ca. Search for other works by this author on: GSW Google Scholar Author and Article Information Poulad Daneshvar Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec H3G 2W1, Canada Attila M. Zsaki 1 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Quebec H3G 2W1, Canada 1Corresponding email: am.zsaki@concordia.ca. Publisher: Association of Environmental & Engineering Geologists First Online: 25 Jul 2018 Online Issn: 1558-9161 Print Issn: 1078-7275 © 2018 Association of Environmental & Engineering Geologists Environmental & Engineering Geoscience (2018) 24 (3): 263–279. https://doi.org/10.2113/EEG-1891 Article history First Online: 25 Jul 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Poulad Daneshvar, Attila M. Zsaki; Simulation of Tailings Flow Resulting from a Dam Breach Using Smoothed Particle Hydrodynamics. Environmental & Engineering Geoscience 2018;; 24 (3): 263–279. doi: https://doi.org/10.2113/EEG-1891 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search Abstract Failure of tailings dams often results in the release of substantial amounts of tailings into the environment, causing considerable damage. The flow of tailings presents a complex modeling challenge due to the free-surface flow and large deformations involved, rendering it intractable by conventional finite element or finite difference methods. A mesh-free formulation, based on smoothed particle hydrodynamics (SPH), was utilized to back-analyze documented tailings dam failures. As with any numerical model, the calibration of model parameters to corresponding physical quantities is a requirement prior to any application of the model. In addition to the effect of model parameters, such as the roughness of terrain, that are hard to quantify, the capabilities and limitations of the SPH model itself were investigated using a simple experimental flume flow setup. In this paper, the calibrated model was applied to literature-reported tailings dam failures. The outflow of tailings interacting with the terrain resulted in good agreement between the simulation results and the reported cases, enabling use of the modeling approach to assess the potential damage caused by tailings dam breaches and to predict flow paths of tailings. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.189
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it