Temperature Distribution of Railway Tunnels in Winter
Bibliographic record
Abstract
The freezing water around the tunnel lining, which is caused by the external temperature during winter, damages portions of tunnel structures, such as the lining and concrete slab track. To investigate the influence of freezing temperature, a total of 50 temperature gauges were installed from the tunnel entrance to 3,270 m. The total length of the tunnel was 8,293 m. The variation in temperature along the tunnel was measured during winter. The correlation between the variation in temperature and the influence of train operation at a speed of 130-150 km/h was analyzed. The duration of the increasing freezing temperature range influenced by train operation was also analyzed and displayed in the results. The results demonstrated that the variation in temperature according to the train operation could be recovered in 30 min. Therefore, when considering the freezing range of a tunnel where trains are travelling at intervals of approximately 30 min, it was judged that the influence factor will be negligible owing to the train operation.
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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".