Structural performance assessment of a 60‐year‐old reinforced concrete bent cap
Bibliographic record
Abstract
Abstract As the world's reinforced concrete (RC) civil infrastructure continues to age and exhibit visual signs of distress (e.g., cracking), the challenge of how to process this visual information is becoming increasingly important. While research is ongoing in this field, limited work has been done involving structures that are truly representative of real‐world, aged civil infrastructure requiring assessment. Thus, this paper presents the results of an experimental program and subsequent numerical investigation into the performance of a diagonally cracked, RC bent cap that was removed from a 60‐year‐old bridge in Texas. Extensive work was done to document the cracking behavior and characterize the mechanical properties of the bent cap prior to ultimate load testing. The numerical investigation included both “conventional” methods and nonlinear finite element analysis (with and without consideration of existing damage). Ultimately, the results of the experimental and numerical investigations suggest that, while the bent cap was exhibiting large‐width shear cracks in service, the damage was not indicative of an impending shear failure.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".