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Record W4409799941 · doi:10.11159/icgre25.207

On the Coupled Hydro-Mechanical Behaviour of Tailings Under Unsaturated Conditions

2025· article· en· W4409799941 on OpenAlexvenueno aff
Gianluca Di Bella

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicTailings Management and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsTailingsComputer scienceEnvironmental scienceGeologyGeotechnical engineeringMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

The current research investigates some peculiarities of the hydro-mechanical response of mining wastes retrieved from the collapsed lower portion of the Stava upper basin (Italy).An experimental campaign of suction-controlled triaxial tests was carried out to study the hydro-mechanical behavior of the soil under different drainage conditions, suction levels, and net pressures.The hydraulic paths and volumetric response were interpreted accounting for the water retention curves experimentally obtained on the same tailings from a previous experimental campaign, thus confirming the coupling between the hydraulic and mechanical response of the unsaturated soil sheared under both drained and undrained conditions.A Critical State condition was reached for many samples, and the outcomes were compared with those obtained on the same soil tested under saturated conditions.By adopting a Bishop-like effective stress, within the suction range investigated, it was found that the soil strength is characterized by a single Critical State Line both under saturated and unsaturated conditions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.184
Teacher spread0.179 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2025
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