Analyse des incertitudes dans l'évaluation des tassements causés lors de travaux souterrains en site urbain
Bibliographic record
Abstract
L'objet de cette etude est d'evaluer l'influence des incertitudes liees a la variabilite du sol (variabilite stratigraphique et rheologique) dans la modelisation numerique des tassements causes par la construction des ouvrages souterrains en site urbain. Sur la base des nombreux essais in situ, la technique du krigeage appliquee a la stratigraphie est justifiee et appliquee afin d'evaluer l'incertitude sur la position des differentes couches composant le massif. Cette incertitude a ete integree dans le calcul des mouvements de terrain lors du creusement d'un ouvrage souterrain afin d'estimer l'incertitude relative aux tassements de surface. Parallelement a cette etude, la methode des elements finis stochastiques a ete mise en œuvre pour evaluer les dispersions dans les resultats numeriques liees a la meconnaissance des parametres rheologiques du sol.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".