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Record W3123379079 · doi:10.4271/2021-01-0957

Near-to-Far Wake Characteristics of Road Vehicles Part 1: Influence of Ground Motion and Vehicle Shape

2021· article· en· W3123379079 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

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

Bibliographic record

VenueSAE International Journal of Advances and Current Practices in Mobility · 2021
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Fluid Dynamics Research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsContext (archaeology)Wind tunnelWakeAerodynamicsTruckTollGround planeEngineeringAerospace engineeringGeologyElectrical engineering

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Conventional assessments of the aerodynamic performance of ground vehicles have, to date, been considered in the context of a vehicle that encounters a uniform wind field in the absence of surrounding traffic. Recent vehicle-platooning studies have revealed measurable fuel savings when following other vehicles at inter-vehicle distances experienced in every-day traffic. These energy savings have been attributed in large part to the air-wakes of the leading vehicles. This set of three papers documents a study to examine the near-to-far regions of ground-vehicle wakes (one to ten vehicle lengths), in the context of their potential influence on other vehicles.</div><div class="htmlview paragraph">Part one of this three-part paper documents principally the influence of vehicle shape on the development of its wake. A series of high-fidelity numerical simulations, based on a Lattice-Boltzmann approach, and a series of scaled-model wind-tunnel measurements are presented to examine the effects of four types of vehicles: a sedan, an SUV, a pickup truck, and a heavy-duty vehicle. The influence of using a stationary-ground-plane setup in the wind tunnel is examined using numerical simulations, to provide context for the wind-tunnel results.</div><div class="htmlview paragraph">The results of these investigations show that ground motion, or the lack thereof, has a greater influence on the wakes of the slant-back and step-back shapes than for a square-back shape due to an interaction of the wake vortex structures with a horseshoe vortex generated by the interaction of the vehicle pressure field with the oncoming boundary layer. The results also demonstrate two distinct types of wake regimes at low yaw angles for these different classes of vehicles shapes. Slant-back and step-back configurations like the car and pickup-truck models demonstrate the classic C-pillar vortex structure with central downwash, while the square-back shapes like the SUV model demonstrate a central upwash from a vortex pair of opposite sign. The mechanisms leading to these two opposing vortex pair orientations is examined. Drag reduction technologies applied to a heavy-duty-vehicle shape are shown to modify the wake structure such that slant-back and square-back wake characteristics can be generated.</div></div>

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)0.001
metaresearch head score (Gemma)0.001
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 score0.638
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.330
Teacher spread0.311 · 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