Study on Settlement of High Fill Embankments on Rock Slope under Complicated Stress Conditions
Bibliographic record
Abstract
Compared with general roadbed，high fill embankment has the characteristics such as higher height， larger cumulate settlement and it’s stability should be technical analyzed. High fill embankment is one of the most important projects in highway engineering. The settlement in highway construction, especially the differential settlements, may lead to the cleft and stagger of pavement，and largely affect the quality of driving as well as the operational life span. So how to reduce the settlement and get rid of the danger made by the settlement has been an important subject in highway construction field and the research has important reality significance. Therefore, in order to master the deformation law of high fill embankment on rock slope under complicated stress conditions, systems of monitoring network are established to monitor the settlement of high embankment with strong weathering filling, high embankment on rock slop and high rock fill abrupt slope embankment respectively. Through analysis of settlement of high fill embankment stability under complicated stress conditions, conclusions are made in details.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".