Numerical Simulation of 12 Years Long Biaxial Creep Tests: Efficiency of Assuming a Constant Poisson’s Ratio
Bibliographic record
Abstract
For a part of the concrete containment buildings of French nuclear power plants, the leak-tightness depends vastly on the pre-stress of the building which can decrease due to concrete delayed strains. Therefore, EDF has developed a large experimental program in the early 2000 in order to study the biaxial creep of concrete. In this paper phenomenological drying, shrinkage and creep model is used to model these biaxial tests. The identification of the parameters of the drying model is first presented. Then, the parameters relative to a parasite mass-loss which occurred in the sealed tests and to the creep model are identified. The model is shown unable to reproduce correctly the biaxial strains observed in the tests. A change of the part of the model accounting for the desiccation creep is therefore proposed. Assuming that the desiccation creep Poisson’s ratio is identical to the basic creep and the elasticity ones allows for a better reproduction of long-term multiaxial concrete creep.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".