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Record W4366506738 · doi:10.11159/icgre23.115

Mechanical Response of Tailings under Monotonic Triaxial Tests inUnsaturated and Nearly Saturated Conditions

2023· article· en· W4366506738 on OpenAlexvenueno aff
Gianluca Di Bella

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsnot available
FundersPolitecnico di Torino
KeywordsTailingsGeotechnical engineeringMonotonic functionGeologyMaterials scienceMathematicsMetallurgyMathematical analysis

Abstract

fetched live from OpenAlex

A detailed knowledge of the mechanical behaviour of unsaturated tailing wastes is a key element to assess the stability analysis of tailing facilities, considering the variation of the soil strength due to climate effects, rainfall, or poor management in order to minimize the high rate of recent failures associated with unacceptable fatalities, economic and environmental damages.This research investigates the mechanical behaviour of unsaturated fluorite ore wastes collected after the failure of the Stava tailing dams (Italy).The static liquefaction response of the tailings was studied by carrying out CIU triaxial tests by through application of different backpressures to obtain unsaturated or nearly saturated specimens.The influence of the degree of saturation on the mechanical response of Stava tailings is investigated and the static liquefaction strength evaluated.Outcomes are interpreted based on the Water Retention Curve estimated by performing water retention tests on the same soil, and within the Critical State framework.Results are also compared with those obtained in fully saturated conditions from a previous experimental campaign.

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.

How this classification was reachedexpand

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.797

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 head0.008
GPT teacher head0.195
Teacher spread0.187 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Civil, Structural, and Environmental EngineeringSame topicTailings Management and PropertiesFrench-language works237,207