Permeabilite du beton de peau. Le choix du granulat peut-il s'averer un element plus determinant que le rapport E/C ?
Bibliographic record
Abstract
Based on research work carried out jointly at the laboratories of the Institut National des Sciences Appliquées (INSA) in Toulouse (France) and the University of Sherbrooke (Canada), it has been observed that the gas permeability of concretes produced in Toulouse always proves to be lower. A study performed on mortars has been devised to assess the importance of the mineralogical nature of the aggregate. The permeability of mortars with marble aggregate is consistently less than that of mortars with granite aggregate. By virtue of interaction with the hydrated cement paste, the mineralogical nature of the aggregate dictates, to a greater extent than the W/C ratio, the level of air permeability of the mortar subjected to drying. Results also reveal that gas permeability is dependent upon the paste/aggregate interaction of the smallest particles. The partial substitution of the fines portion of a concrete aggregate by a similarly-sized marble aggregate warrants further consideration, in the aim of optimizing the gas permeability of the concrete and thereby increasing durability of the cover concrete.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".