Étude du comportement de chevauchements d'armatures en traction directe dans du béton fibré ultra performant
Bibliographic record
Abstract
RESUME Les ponts sont les composants les plus critiques de tout reseau de transport. Les dommages irreversibles ou effondrements de plusieurs ponts dans le monde lors d’evenements sismiques importants ont montre la vulnerabilite de la base des piles des ponts. Au Canada, les piles en beton arme concues avant l’introduction des regles parasismiques dans les annees 1990 presentent un defaut de conception des joints de chevauchement qui n’offrent pas une resistance et une ductilite suffisantes. Le probleme est lie a une longueur de chevauchement trop courte, a un mauvais confinement des armatures transversales trop espacees et a une localisation immediate au-dessus de la semelle dans la zone ou doit se developper une rotule plastique. La perte d’ancrage des armatures chevauchees, caracterisee par l’apparition de fissures de fendage du beton d’enrobage, constitue le mode de rupture generalement releve.----------ABSTRACT Bridges are the most critical component of the transportation network. The severe damage or collapse of several bridges worldwide observed in past earthquakes have shown vulnerability at the base of the bridge piers to strong seismic events. In Canada, reinforced concrete bridge piers built prior to the introduction of the first seismic design provisions in the 1990s often have deficient detailing of the lap splices. These lap splices lack the strength and ductility to withstand major earthquakes. The problem is related to a combination of inadequate splice length and poor confinement due to the spacing of the transverse reinforcement at the base of the bridge pier (immediately above the footing) where large inelastic demands can be expected during seismic events. Bond failure of spliced bars, characterized by splitting cracks within the concrete cover, is one of the commonly observed failure modes.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".