MétaCan
Menu
Back to cohort
Record W2985498570 · doi:10.3233/brs-190164

Aerodynamic problems of parallel deck bridges

2019· article· en· W2985498570 on OpenAlexaff
Stoyan Stoyanoff, Pierre-Olivier Dallaire, Zachary J. Taylor, G.L. Larose

Bibliographic record

VenueBridge Structures · 2019
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsRowan Williams Davies & Irwin (Canada)
Fundersnot available
KeywordsDeckAerodynamicsFlutterStructural engineeringAerodynamic forceWind tunnelBridge (graph theory)AeroelasticityWakeEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

In recent years several parallel bridges were designed and built in North America. These bridges have been selected to replace existing structures and to meet the ever-increasing demands of vehicle traffic. To meet the demands of increased traffic, the parallel configuration is often selected wher e each bridge deck carries traffic of opposite direction. This pair of decks, even when remaining dynamically independent, become coupled aerodynamically due to their proximity. In this configuration the aerodynamic forces can be enhanced by the similar cross-sections of each bridge and by the close dynamic properties of the twin structures. Becoming aerodynamically coupled, these twin-deck systems have been found to display aerodynamic behavior noticeably different to what could be expected from a single deck of the same cross-section. Typical known aerodynamic solutions to cure instabilities such as vortex shedding and flutter may not be as efficient for these cases. The conventional strategy to study each deck dynamically suspended upwind or downwind of the other statically-mounted deck section showed limited application given the new and complex motion-driven aerodynamic behavior that appeared only in a tandem dynamic arrangement of testing. Generally, there are slight geometrical differences in the twin sections (e.g., a walkway on one of the decks) and these difference lead to asymmetries in the combined cross-section. Therefore, finding an aerodynamic solution for one wind direction will not necessarily work for the opposite direction. Given that known solutions of a single section may not be efficient, and vice versa when considering bridge’s construction, an extensive circle of trials was required until appropriate aerodynamic solutions were found applicable in all conditions. This paper presents results of the aerodynamic studies for three different bridges, and of particular solutions found when required. Useful suggestions for future twin-bridge configurations of similar arrangements are also given.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.006
GPT teacher head0.204
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations16
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBridge StructuresSame topicFluid Dynamics and Vibration AnalysisFrench-language works237,207