Experimental Investigation on the Residual Flexural Behavior of 28-Year-Old Decommissioned Prestressed Concrete Voided Slab Girders
Bibliographic record
Abstract
The residual flexural behavior of semilightweight prestressed concrete voided slab girders taken from a decommissioned 28-year-old bridge near Barrhead, Alberta, Canada was investigated. The residual flexural behaviors under loads corresponding to the serviceability limit state (SLS), the ultimate limit state (ULS), and the failure state were evaluated using four-point bending tests. Four girders with different deterioration levels were tested, with one girder exhibiting no visible deterioration considered as the control girder. Material tests on concrete, mild steel reinforcement, and prestressing strands were conducted to better understand girder behavior. Strand corrosion reduced the girder flexural strength by 14%–22% and changed the failure mode from concrete crushing after steel yielding to undesirable strand rupture prior to yielding. However, all girders, regardless of deterioration level, showed satisfactory performance under SLS and ULS loads. The effective prestress force was also studied using digital image correlation (DIC). North American bridge design codes were used to predict the cracking load and flexural strength considering the influence of different corrosion effects. Steel area loss was shown to be the most important factor for both cracking and flexural capacity reduction.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".