Virtual Experiments to Investigate Steel Corrosion in Concrete
Bibliographic record
Abstract
Virtual experiments are one of the integral parts of the advanced civil engineering practice since they eliminate time-consuming and expensive laboratory studies, and they are useful for educational and training purposes. In the present work, a number of virtual experiments for investigating the corrosion of reinforcement in concrete are designed, and the effect of different parameters on the corrosion process is examined. The design of the experiments is based on non-linear solution of Laplace's equation with polarized surface boundary conditions by the finite element method, for which an under-relaxation technique is implemented. Using the results of the virtual experiments, a closed-form solution for the considered domain is obtained. By using this solution, the effect of a number of factors that affect the corrosion process can be investigated; an example of this investigation is presented. These experiments can also be effectively used for service life design and structural health and integration monitoring purposes; these two approaches are discussed in detail.
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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 | 0.000 | 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".