Material behaviour associated with tunnelling through the weak rock masses of the Alpine system in Northern Greece
Bibliographic record
Abstract
The backdrop for this research paper is the tunnelling that is currently nearing completion in the Epirus and Western Macedonia regions of Northern Greece, as part of the Egnatia Odos Highway construction. Highly deformed and altered sediments and low grade metamorphic rock masses dominate the near surface environment creating a variety of technical challenges for tunnelling. Accurate equivalent rock mass performance predictions for tunnels in these materials (including yield and residual strength as well as flow and dilation considerations) is complicated by geomorphologic peculiarities (mixed face conditions, variable orientation or rock masses and structure) such as flysch materials. In addition, portal stability problems, and geometrical issues such as the effects of simultaneous twin tunnel excavation on radial displacements of each bore are also key considerations. This work involves the use of 2D and 3D research models of tunnel sequencing for numerical simulation of composite material behaviour and sequential tunnel deformation response with a goal to investigating the strength and deformation of heterogeneous rockmasses. A discussion of the geological conditions, material property determination, monitoring data and the model calibration strategy is given. The focus is on the Driskos tunnel, the longest of the project.
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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 | 0.001 |
| 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".