Étude expérimentale via l’essai de fendage, de l’énergie de fissuration des bétons des ouvrages hydrauliques
Bibliographic record
Abstract
RESUME: Depuis leur construction, certains ouvrages hydrauliques du Quebec subissent un phenomene de degradation acceleree du a la Reaction Alcalis-Granulats ou RAG. Cette pathologie introduit un gonflement au sein de la matrice du beton, et de ce fait induit une degradation du materiau en plus d’un effet structural sur les ouvrages. La resistance des barrages se trouve alteree par ce phenomene, et des questions se soulevent quant a la perennite et la securite de ces installations.----------ABSTRACT: Since their construction, certain hydraulic structures in Quebec have experienced an accelerated degradation phenomenon due to the Alkali-Aggregate Reaction(AAR.This pathology introduces swelling within the matrix of the concrete, and thus induces degradation at the material level, in addition to structural effects at the level of the facility. The strength of the se structures is impaired by this phenomenon, and questions arise as to the durability and safety of these facilities.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".