SUBGRADE SETTLEMENT RULES OF FIRST RUNWAY OF PUDONG AIRPORT IN SHANGHAI
Bibliographic record
Abstract
At present,the calculation theories for soft soil subgrade are not still perfect.The subgrade of the first runway in PUDONG AIRPORT is built on a typical soft soil area in Shanghai.Its pavement settlement has been measured for 11 years.This paper analyzes the measured pavement settlement data and finds the rules of runway subgrade settlement.The foundation settlement model is also put up.The subgrade settlement of the first runway is mainly induced by static loading.Meanwhile,the moving aircraft loading and groundwater withdraw cannot be ignored also.The calculation method and the rules of settlement induced by moving aircraft loading are put forward.The most of the subgrade settlement induced by moving aircraft loading is produced in the two or three years after the runway was commissioned.Compared with the moving aircraft loading,the groundwater withdraw can produce more subgrade settlement.In different time,the subgrade settlement constitutes differently.By the April of 2009,the subgrade settlement of the first runway was about 54cm.About 33cm of the settlementwas induced by static loading,5cm was induced by the moving aircraft loading,and 16cm was induced by groundwater withdraw.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".