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Record W2994594423

Relationship Between Railway Ground-Borne Vibration Propagation And Track Elevation – A Field Study

2017· article· en· W2994594423 on OpenAlexaffvenueabout
A. D. Collins

Bibliographic record

VenueCanadian acoustics · 2017
Typearticle
Languageen
FieldEngineering
TopicRailway Engineering and Dynamics
Canadian institutionsProfessional Engineers Ontario
Fundersnot available
KeywordsElevation (ballistics)Track (disk drive)VibrationBermGround vibrationsEnvironmental scienceEngineeringStructural engineeringGeotechnical engineeringAcoustics
DOInot available

Abstract

fetched live from OpenAlex

Railway corridors form vital transportation routes for moving goods and people across Canada. These routes have seen explosive growth of close proximity residential developments in Canada’s major cities and the impacts due to rail traffic on residences is a growing concern. A relationship between railway ground-borne vibration propagation and track elevation relative to points of reception was investigated and proposed based a field study of vibration measurements taken adjacent to railway corridors in Ontario and Alberta. The purpose of this study was to compare vibration measurements under three conditions: track elevated on berm, track at grade and track below grade, relative to points of reception. Other railway variables such as track condition, train speed and soil conditions were noted however were not assessed for this paper. Results of this study indicate track elevation is a factor in railway ground-borne vibration propagation. The importance of this relationship on land-use planning adjacent to railway corridors is discussed and existing guidelines for ground-borne vibration and vibration induced noise are summarized.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.019
GPT teacher head0.230
Teacher spread0.211 · 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
Published2017
Admission routes3
Has abstractyes

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