Settlement Characteristics Due to Excavate Two Parallel Tunnels through a Fill Slope
Bibliographic record
Abstract
The majority of tunneling projects entail designing and building two adjacent tunnels, referred to as twin tunnels.Because the interaction of two parallel tunnels within a slope affects the slope's stability, it's vital to understand the impact of this interaction on the stability.In this paper, the vertical displacement (settlement) of a road above twin tunnels in a fill slope was researched and validated using field measurements.This case study is located in Guizhou province in kaili city in south west of china.The most important part of this study is that the tunnels 'entrance is in fill soil, which constitutes an unstable body for the tunnel and the slope, especially during excavation.Piles foundation have been used to improve the slope stability.Predictions of settlement were made using the finite element method (FEM) with PLAXIS 3D program, as well as the analytical solution method (new equation).The results appear that the largest displacement was due to the fill entrance.And without the fill, the displacement was too small with nonoverlapping shape of displacement.Furthermore, with certain restrictions, the new analytical solution equation is suitable for twin tunnels in a slope.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".