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Record W4230132219 · doi:10.1080/19346182.2009.9648499

Streamlining the time trial apparel of cyclists: The Nike swift spin project

2009· article· en· W4230132219 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSports Technology · 2009
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
Fundersnot available
KeywordsDragAirflowDrag coefficientAerodynamic dragWakeParasitic dragWind tunnelZero-lift drag coefficientSimulationEngineeringMechanicsStructural engineeringMarine engineeringPhysicsLift-induced dragMechanical engineering

Abstract

fetched live from OpenAlex

Abstract This paper documents the development of aerodynamic apparel for the Tour de France individual time trial (TT), the Olympic TT, and track cycling races. A wind tunnel and metric balance were used to measure the drag force (Fd) and wind tunnel air velocity on cylinders, limb models, and live cyclists clad in samples or suits sewn with one or more of 200 stretch fabrics. A concurrent measurement of model dimensions and frontal areas provided the non‐dimensional drag coefficient (Cd) and Reynolds Numbers (Re) that characterized the ability of the various fabrics and suits to reduce frictional drag and induce a drag crisis (DC) or premature flow transition. DC defines a critical air velocity over the body segments at which the airflow transitions from laminar to turbulent, yielding a smaller wake behind the body segment and a corresponding decrease in Fd. A number of fabrics triggered DC on cylinders and limb segments, reducing cylinder and limb Cd by over 40 per cent. Several methods of lowering the Fd of cycling apparel proved effective, including custom fitting, aligning seams with the airflow, and matching fabric textures to body segments. Repeated drag measurements of the same cycling suit provided a mean drag of approximately 3200 g with a standard error of ± 29g. The final 2005 individual TT suit design, worn by a pedaling cyclist, had a measured drag at 53kph, which was 125 g less than typical 2001 TT cycling suits worn by competitors (Fd reduction 5 3.9 per cent). A mathematical model predicts that a drag difference of this magnitude would provide a time saving of approximately 44 s in a 55‐km Tour de France TT. In 2002–2005 and 2007, the production version of the 'Swift Spin' TT suit was worn by the winner of the Tour de France; by the women's hour record holder and by road; TT and track cyclists who set four world records, six Olympic records, and won seven medals in individual cycling races at the 2004 Athens Olympics. Keywords: aerodynamic dragTT suitNIKE Swift Spinflow transitionzoned fabrics Notes Aerosports Research, 5761 Seaview Place, West Vancouver, B.C. V7W 1R7, Canada E‐mail: firstsilver@hotmail.com

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 score0.683
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.304
Teacher spread0.291 · 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