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Record W2970444923 · doi:10.1061/9780784482575.041

Track Modulus: Ballasted and Direct Fixation Track

2019· article· en· W2970444923 on OpenAlexaff
Nazmul Hasan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRailway Engineering and Dynamics
Canadian institutionsSNC-Lavalin (Canada)
Fundersnot available
KeywordsTrack (disk drive)StiffnessFastenerDeflection (physics)ComputationModulusStructural engineeringComputer scienceEngineeringAlgorithmMaterials scienceMechanical engineeringPhysicsComposite materialOptics

Abstract

fetched live from OpenAlex

This paper aims to compute the track modulus. For this purpose, it reviews the computation of the track modulus of a ballasted track, and the formula of the track modulus of a direct fixation (DF) track by Transit Co-operative Research Program. The computation has been found to be wrong, and the formulation has theoretical deficiencies because of incorrect interpretation of the definition of the track modulus although there is an equation based on the beam on an elastic foundation (BOEF) to compute the track modulus of a ballasted track. These are investigated in the paper in detail. A discreetly supported rail structure can be analyzed using numerical means. However, for a static assessment and simple configurations, the BOEF model may be applied on a DF track as an approximation method. The current industry practice applies the BOEF model on a DF track to analyze rail stress, deflection, reaction, etc. Thus, a formulation of the track modulus of a DF track is based on the BOEF model. As a sideline work, this study shows a new expression for the characteristic length, the track modulus, and the relation between track stiffness and mean track stiffness. It also presents limiting values of fastener stiffness and then a formula for fastener spacing.

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.364

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 head0.004
GPT teacher head0.170
Teacher spread0.166 · 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 teacher head, 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

Citations2
Published2019
Admission routes1
Has abstractyes

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