A Review of Structural Health Monitoring of a Football Stadium for Human Comfort and Structural Performance
Why this work is in the frame
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Bibliographic record
Abstract
Stadium structures may suffer from vibration serviceability problems due to light weight and rapid constructions as well as considerations such as improved line of sight and increased capacity. In this context, Structural Health Monitoring (SHM) data can be implemented to track and evaluate performance of such structures during different events. This paper presents findings from a Structural Identification (St-Id) implementation to a football stadium to evaluate the structural performance by means of a detailed Finite Element (FE) model validated using experimental data. The stadium was monitored for three years to determine the vibration levels during different games and different events, e.g. goals, interceptions and playing a particular song. It is observed that certain events and long periods of playing particular songs generate vibration levels that create uncomfortable situations for the spectators based on the design codes. Laboratory studies were conducted to determine the forcing functions experimentally due to jumping with the rhythm of a song that was often played in the stadium. The FE model of the stadium was developed and validated using the modal analysis results from the ambient vibration data. The experimentally obtained loading functions were used with the FE model to simulate the behavior under spectators' loading.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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