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Record W2792553769 · doi:10.4095/306517

Dynamic characteristics of the west wing of East Block of Parliament Hill, Ottawa, Ontario from ambient noise recordings

2018· report· en· W2792553769 on OpenAlexaffabout
Michal Kolaj, James B. Hunter, J Adams

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsParliamentBlock (permutation group theory)Noise (video)WingGeographyComputer scienceEngineeringPolitical scienceMathematicsLawPoliticsArtificial intelligenceAerospace engineering

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.209
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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