Dynamic analysis of a pedestrian walkway, University of British Columbia, Canada
Bibliographic record
Abstract
This paper presents a two-part study examining the effect of age, and the effect of temperature on a pedestrian walkway. Two sets of ambient vibration tests were performed on the walkway at the Civil and Mechanical Engineering building, UBC, one in 1994 and the other in 2001. Each time the tests were performed to determine its mode shapes and natural frequencies. The testing done in 1994 utilized the Hybrid Bridge Evaluation System developed at UBC. This test captured the first twelve vibration modes of the bridge. The tests performed in 2001 used a similar data acquisition system, as well as similar test setups, but applied new, more sophisticated software to analyse the data. The 2001 experimental program included two different tests. The first was performed on a day having normal weather conditions, intended to compare the 1994 and 2001 results, investigating any changes in the dynamic properties over seven years of use. The results were compared using the 1994 results. The second test was performed on a day with significantly higher temperatures, with the intent of investigating the effect of temperature on the behaviour of the bridge, as well as the performance of the experimental methods during those conditions.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".