Dynamic response of pedestrian bridges for random crowd-loading
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
The publicity regarding the 18-month closure of London’s Millennium Bridge due to excessive lateral vibration response under crowd loading during its opening ceremony has highlighted the necessity for further investigation into the sources of this problem. Current design guidelines focus on single pedestrian dynamic loading and subsequently underestimate the dynamic response associated with crowd loading in the design of pedestrian bridges. This deficiency is addressed in this paper with the mathematical incorporation of random crowd effects into the dynamic analysis procedure. The introduction of a crowd factor (Cf) allows the individual response to be extended to incorporate multiple pedestrians with random arrival times. A subsequent statistical analysis into the mean, variance and distribution shape of Cf allowed the mathematical derivation of an equation stipulating its maximum upper value for a deemed appropriate level of confidence.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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