Dynamic characteristics of the west wing of East Block of Parliament Hill, Ottawa, Ontario from ambient noise recordings
Bibliographic record
Abstract
To mitigate seismic risk, it is important to obtain a structure's natural frequencies and resonant amplification spectra. To this effect, ambient seismic noise data were collected at three sites of interest as well as two reference sites within the west wing of East Block on Parliament Hill in Ottawa, Canada due to the importance and historic value of these heritage buildings. The data were processed using the standard spectral ratio (SSR) and horizontal-to-vertical spectral ratio (HVSR) techniques. Processing of the ambient noise data for the South-West Tower yielded approximately the same fundamental frequency (2.0 Hz) as did the analysis of the Mw 5.0 Val-des-Bois earthquake data (1.86 Hz). Several >3 Hz spectral peaks as well as broadband amplification (3 Hz - 8 Hz) were observed at room 219 and room 314 of the west wing at the locations of previously installed three-component earthquake accelerometers. The SSR technique was found to be more reliable than the HVSR technique in identifying the dominant peaks in the spectra. This was likely due to the presence of vertical amplification at the sites which is hypothesized to be caused by coupling between the horizontal vibrational modes with that of the floor which caused it to vibrate at a comparable frequency. An ambient noise survey such as the one performed in this work is a low-cost approach for documenting the dominant dynamic properties of a structure in the linear domain.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".