Evaluation of geological hazards along the Karaj water conveyance tunnel using multiple approaches and GIS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The prediction of geological hazards prior to tunnel excavation is of paramount importance, as understanding these hazards is fundamental in tunnel design, route selection, drilling technology choice, maintenance, and the construction of associated structures. The most significant geological challenges that may occur during and after tunnel excavation include groundwater inflow, tunnel face squeezing, convergence of tunnel walls, the collapse of fractured zones, and rockburst. These hazards can lead to unforeseen costs, operational disruptions, and schedule delays. Therefore, comprehensive assessments of geological hazards are essential before commencing underground projects to facilitate informed design decisions. In this study, we apply various analytical, numerical, empirical, and semi-empirical methods to estimate and assess geological hazards associated with the Karaj water conveyance tunnel, Iran. These hazards include water inflow into the tunnel and the tunnel's susceptibility to squeezing and rockburst. The identified risks along the Karaj water conveyance tunnel route are then classified within a GIS environment. Maximum water inflow into the tunnel corresponds to sections having high rock squeezing, primarily in fractured and faulted zones. These zones, along with sections of the tunnel characterized by low rock mass quality but high rock mass yield, exhibit the highest risks for potential squeezing and rockburst.
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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 | 0.001 | 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 it