Case Study: Comparing Measured and Finite Element Modelled Footfall Vibration Levels in a New Research Building
Bibliographic record
Abstract
Occupant footfalls are often the most critical source of floor vibration on the elevated floors of buildings. In research facilities employing high resolution electron microscopes, this issue can be critical. Modifications to reduce vibration impacts in completed buildings typically require major changes to the mass, stiffness or damping of the floor system. As such, vibration impacts on sensitive equipment need to be addressed during the design stage. There are various methods available for predicting vibration levels from footfalls. The Finite Element (FE) approach presented in The Steel Construction Institute (SCI) P354 and The Concrete Centre (CCIP) 016 methodologies, which considers the interaction of many modes, is generally accepted to be more accurate than other methodologies that rely on simple beam theory. A case study is presented where measurements were performed on bare concrete floors, prior to completion of the Brimacombe Building addition at the University of British Columbia. The facility requires a low vibration environment to support world leading quantum materials research. The measured vibration levels are compared with the values predicted by the SCI P354 and CCIP 016 methodologies to assess the accuracy of the prediction methodology in the absence of damping inherent in completed buildings.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".