Experimental Investigation on the Residual Shear Behavior of 28-Year-Old Decommissioned Prestressed Concrete Voided Slab Girders
Bibliographic record
Abstract
A prestressed concrete voided slab girder bridge was decommissioned after 28 years in service near Barrhead, Alberta, Canada, due to severe deterioration. Four interior girders with different deterioration levels were selected and cut into 3.8-m short segments to investigate their residual shear behavior. Seven short segments were tested under three-point bending, with two load configurations (shear span to effective depth ratios of 2.26 and 3.39) used to investigate the difference in shear behavior between deep and slender beams in this paper. Increasing the shear span to effective depth ratio changed the girder failure mode from strut crushing to shear compression/diagonal tension failure. Artificially induced damage (i.e., cutting stirrups and strands) was investigated. Numerical models were also developed to compare with experimental results and study deterioration effects individually. The shear tests indicated that all girder strengths exceed the shear demand from CSA S6:19, even with artificially induced damage. It is expected that bridges with similar design configurations and deterioration levels would experience flexural failure rather than shear failure. Among all deterioration defects, anchorage was observed to play a larger role in affecting the strength of the tested girder segments. Corrosion that leads to anchorage issues, such as end cracking, needs to be carefully examined by bridge inspectors.
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 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".