Bibliographic record
Abstract
This study aimed to investigate the effect of corrosion on the bond strength of tension lap splices in reinforced concrete beams. The test variables were the corrosion level (0%, 2.5% and 5.0%) and the concrete cover to bar diameter (c/d) ratio (c/d=1.5, 2.0, and 2.67). The observed failure mode was splitting of the concrete cover on the tension side. An accelerated corrosion technique was used to corrode the reinforcing lap-spliced bars in a reasonable time frame. Corrosion did not affect failure mode but caused a reduction in the ultimate strength and deflection at failure. The bond strength was reduced by 15% to 26% at 2.5% corrosion level and by 21% to 38% at 5% corrosion level depending on the c/d ratio. A model was proposed to predict the bond strength of corroded tension lap-splices in concrete. The model results correlated well with the measured bond strength.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".