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Record W4411829286 · doi:10.1201/9781003642428-116

Three-Dimensional Extension of Ubchyst Constitutive Model: Implementation and Verification ()

2025· book-chapter· en· W4411829286 on OpenAlexaboutno aff
Nicolas Labandaa, Riccardo Fanni

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicElasticity and Material Modeling
Canadian institutionsnot available
Fundersnot available
KeywordsExtension (predicate logic)Computer scienceProgramming language

Abstract

fetched live from OpenAlex

Ce rapport présente une formulation tridimensionnelle (3D) d’un modèle constitutif simple et pratique conçu pour déterminer les caractéristiques de l’amortissement hystérétique non linéaire de matériaux non liquéfiables sous chargement sismique. Il s’agit d’une extension en 3D du modèle bidimensionnel UBCHyst (2D) développé à l’Université de la Colombie-Britannique [1] qui a été largement utilisé pour la modélisation des sols généralement utilisés dans les barrages en remblai tels que les argiles compactées, les enrochements denses et non saturés ou les fondations rigides et le substrat rocheux altéré. La formulation 3D présentée dans l’article est suivie d’une comparaison avec le modèle UBCHyst classique utilisé dans les tests de cisaillement simple direct monotones et cycliques. Le modèle est ensuite vérifié par rapport aux données expérimentales de matériaux d’enrochement et gravillonneux avec des chemins de contraintes triaxiaux statiques et cycliques. Enfin, la réponse sismique est analysée par application d’un enregistrement sismique à la base d’une colonne unidimensionnelle (1D). Les résultats du modèle UBCHyst conventionnel sont comparés à ceux du modèle UBCHyst 3D étendu.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.610

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 head0.020
GPT teacher head0.238
Teacher spread0.219 · 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 designSimulation or modeling
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

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