The adaptation of an experimental protocol to the durability of cement engineered barriers for nuclear waste storage
Bibliographic record
Abstract
Within the French context of nuclear waste disposal in deep geological formation, concrete will be used as the building material for structures as well as for engineered barrier systems (EBSs). With regard to the durability that is necessary to keep the disposal facilities safe and secure, the long-term behaviour of cement-based materials has to be modelled. To assess the long-term evolution of physical and chemical properties of concrete, it is necessary to perform short-term experiments in conditions allowing extrapolations. The aim of this project was to determine the variation of transfer properties (diffusivity, permeation) with hydrolysis/decalcification. To simulate the two time phases of the structure life according to the external conditions, transfer properties were examined through two decalcification tests: a dynamic (temperature between 20 and 80°C, under a hydraulic pressure drop from 2 to 10 MPa) and a static test (NH4NO3 attack). The results could be used as input data in the long-term modelling of the disposal confinement capacity.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".