Bibliographic record
Abstract
Prestressed concrete structures are prone to corrosion of prestressing strands in aggressive environments; and because these strands operate at a high level of stress their corrosion represents a greater concern because of brittle fracture associated with stress corrosion cracking and hydrogen embrittlement. Eight prestressed concrete prisms (127×127×2060 mm) with these levels of prestress (0%, 30% and 60%) were subjected to accelerated corrosion by immersion in a 5% NaCl solution and being subjected to a constant voltage. The results of the various electrochemical tests performed during the corrosion period, and visual observations and mass loss test data are reported summarily in this paper. The results of tension tests on the corroded strands recovered from the prisms after the accelerated corrosion tests demonstrated a decrease in both the strand tensile strength and ductility, which should cause concern for strength and ductility which should cause great concern for the safety, serviceability and durability of prestressed concrete structures [1]. Assessment of all of the data showed that there was no correlation between the level of initial prestress and the corrosion activity. More research is needed in this area to mitigate or at least minimize the risk of corrosion in prestressing strands in corrosive environments, and to construct and maintain prestressed concrete structures to ensure their durability.
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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 | 0.000 | 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) | 0.002 | 0.001 |
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".