Non-Destructive Testing in the Strategic Research on the Performance of Bridges
Bibliographic record
Abstract
The main purpose of bridges is to overcome physical obstacles and improve territorial mobility, therefore, knowledge of their particularities is required, such as project design, inspection and execution, maintenance service plans and others. The aim of the research is to carry out a survey of the main pathological manifestations in three reinforced concrete highway bridges (HB) – built in different years, namely: 1927, 1960 and 2018. The qualification and quantification of the anomalies were carried out and, after that, the prioritization matrix was used, which allows obtaining strategies to ensure the safeguard of the HBs. The methodology used, data collection and detailed inspection of the structure, i.e., non-destructive testing, proved to be appropriate to assess the conditions of the HBs, and also allowed to present results related to recovery services and the necessary maintenance. The pathological manifestations in older bridges are the result of project and building errors, as well as lack of maintenance service.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".