Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".