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Record W1970127332 · doi:10.1520/gtj103691

Seismic Simulator Testing to Investigate the Cyclic Behavior of Tailings in an Instrumented Rigid Box

2012· article· en· W1970127332 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.

Bibliographic record

VenueGeotechnical Testing Journal · 2012
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsNatural Sciences and Engineering Research Council of CanadaUniversité du Québec en Abitibi-TémiscaminguePolytechnique Montréal
Fundersnot available
KeywordsGeotechnical engineeringTailingsGeologyEngineeringSeismic loadingStructural engineeringMaterials science

Abstract

fetched live from OpenAlex

Abstract Hard rock mine tailings are prone to liquefaction when subjected to the cyclic loading of earthquakes. This response may cause failure of the retaining dams and the release of liquefied tailings. To investigate the geotechnical response of tailings during cyclic loading, an experimental program was conducted using a physical model consisting of an instrumented, rigid box on a large seismic (shaking) simulator. The main objective of the tests performed on tailings was to assess, in a relative manner, their response to cyclic loads, without and with drainage or rigid inclusions (or a combination of both). As the results obtained during such tests can be significantly influenced by the experimental procedure, a rigorous methodology was followed for this experimental program. This paper presents the details of the methodology developed to conduct such tests, as well as some of the results obtained.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.115
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.254
Teacher spread0.224 · 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