The Effects of Model Thickness on the Variation of Localised Stress Fields in Four-Point Bending Tests: A CPFE Study
Bibliographic record
Abstract
Abstract Hydrogen embrittlement is one of the principal mechanisms leading to the degradation of engineering materials used in the core of nuclear reactors. This mechanism plays a major role in deciding when to replace the Zr-2.5Nb pressure tubes used in the core of CANDU nuclear reactors. The presence of localised stress fields in CANDU pressure tubes affects the diffusion of hydrogen atoms toward cracks, scratches, and other imperfections. These high-stress regions, in which the hydrogen accumulates, serve as the nucleation sites for hydrides. In this study, an in-house crystal plasticity finite element model was used to study the effects of model thicknesses on the distribution of stresses. This was done to provide a road map for comparing the results obtained from electron backscatter diffraction measurements (EBSD) to those calculated by CPFE modelling. It is shown, that within the ROI, the variation of von Mises stresses changes significantly with model thickness, while the hoop and hydrostatic stresses are only slightly affected. In all cases, the hydrostatic stresses were more pronounced at the midpoint of the sample. Additionally, it was found that to minimise the impact of the boundary conditions on the stresses at the free surface a thickness of 500 μm was found to be optimal.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".