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Record W2475195361 · doi:10.1061/9780784479926.045

Effective Radius at the Tangent Point and Its Uses

2016· article· en· W2475195361 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTechnical Engine Diagnostics and Monitoring
Canadian institutionsSNC-Lavalin (Canada)
Fundersnot available
KeywordsTangentRADIUSTrack (disk drive)Tangent vectorPoint (geometry)AccelerationEffective radiusMathematicsMathematical analysisGeometryComputer sciencePhysicsClassical mechanicsQuantum mechanics

Abstract

fetched live from OpenAlex

The aim of the paper is to estimate the effective (functional) radius at the tangent point, and to demonstrate its use to compute the track construction tolerances and speed on a non-spiraled curve. The existence of lateral acceleration at transition point between tangent and curved track indicates that the radius at the tangent point must have some functional finite value. The effective radius is estimated by using the principle adopted in BS EN 13803-2:2006 to determine the effective radius at the switch point of a turnout placed on a tangent track. A method is suggested to estimate the construction tolerance of a new track and speed on a non-spiraled curve from the concept of the effective radius. The concept of effective radius seems to have useful applications.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.123

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 head0.005
GPT teacher head0.197
Teacher spread0.192 · 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