Bridge scour monitoring: challenges and opportunities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>Scour and related hydraulic causes have been identified as the reason for almost 60% of over-water bridge failures in the United States. Hundreds of millions of dollars have been spent in direct repair costs. With increased frequency of flooding due to erratic rainfall patterns, scour-related damage to bridges is expected to increase. In the last few decades, several periodic and real-time scour monitoring systems have been developed. This state-of-the-art review introduces various contact and non-contact methods of bridge scour monitoring along with their strengths and limitations. Next, the challenges in installation and performance of some of the scour monitoring techniques in field applications are discussed. Indirect methods of monitoring bridge scour based on ambient and forced vibration analysis of the structure are also reviewed. Finally, the paper also provides some thoughts on novel methods of conditions assessment hitherto not tried for scour monitoring.</p>
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it