Analytical and numerical approaches to model cover cracking of RC structures due to corrosion
Bibliographic record
Abstract
This paper presents two different approaches to model corrosion-induced crack propagation in reinforced concrete (RC) structures. Both approaches are based on a thick-walled cylinder analogy, in which the concrete cover is subjected to the internal pressure generated by the growth of corrosion products, and both consider rust compressibility and rust diffusion into cracks. The first approach is solved numerically using finite differences to model the post-cracking softening behaviour of concrete in tension. The second approach idealises the concrete cover as either a brittle elastic or an elastoplastic material, so that it may be solved using a closed-form solution. The results obtained using each approach are compared against each other as well as against published experimental results. A parametric investigation of the influence of several variables on the results provided by the modelling approaches is also presented. The experimental data found in the literature showed reasonable agreement with predictions from the numerical and elastoplastic (analytical) models.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".