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Two-Dimensional Aerodynamic Admittance of a Flat Closed-Box Bridge

2020· article· en· W3117542995 on OpenAlex

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affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Structural Engineering · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAerodynamicsAdmittanceAeroelasticityStructural engineeringWind tunnelTurbulenceDeckMechanicsAerodynamic forceLift (data mining)WavenumberPhysicsGeometryGeologyEngineeringMathematicsOpticsComputer scienceElectrical engineering

Abstract

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Wind tunnel tests were carried employing two different free-stream turbulent flow fields and one harmonic vertical gust profile conditions, and pressure measurements of the buffeting force on six separated strips of a flat closed-box bridge-deck section model were recorded. Two-dimensional aerodynamic admittance functions (2D-AAF) were obtained using one- and two-wavenumber computational theory, respectively. An empirical expression for determining the 2D-AAF for flat closed-box bridge decks in free-stream turbulence was proposed based on the extensive results of the experimental data. This study indicates that the 2D-AAF of the flat closed-box bridge deck is higher than the Sears function in the low-frequency range, and the aerodynamic admittance remains almost constant for reduced frequencies in the range of 0–0.145. For a given bridge section, its 2D-AAF is unique and related only to the geometry of the deck cross section, regardless of whether or not the strip assumption is valid. The fluctuating pressure near the leading edge of the bridge deck in the harmonic vertical gust was obviously much larger than that obtained in free-stream turbulent wind fields, which significantly affects the magnitude of the lift force.

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.

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 score0.875
Threshold uncertainty score0.367

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 head0.007
GPT teacher head0.205
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