Probabilistic evaluation of concrete strains for assessing prestressing loss in nuclear containment segments
Bibliographic record
Abstract
The main function of the nuclear containment structure is to prevent any radioactive leakage to the environment.The Canadian Standard Association (CSA) provides guidelines for the periodic inspection of the containment prestressed system.However, these inspections are not possible to assess directly the condition of the bonded tendons.Thus, the main objective of this research is to investigate if concrete strain measurements, obtained during inspections, can be used for evaluating the prestressing loss of these bonded systems.First, the fracture energy approach is applied for modelling the tensile strength of the concrete, using the concrete damage plasticity model.The finite element analysis (FEA) results are in good agreement compared to the test results, indicating the accuracy of the adopted modeling approach.Then, probabilistic analysis is applied, since the measured concrete strains are expected to have a distribution due to several uncertainties.The results indicate that the prestressing loss of bonded tendons seems to affect the concrete strain distribution.The proposed probabilistic framework can be used as an approach for estimating the magnitude of the prestressing loss, during periodic inspections.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".