The Influence Mechanism of In Situ Stress State on the Stability of Deep‐Buried‐Curved Tunnel in Qinghai‐Tibet Plateau and Its Adjacent Region
Bibliographic record
Abstract
In China, rockburst disaster occurs mostly in construction of underground engineering in Qinghai‐Tibet Plateau and its adjacent region. Previous research on deep‐buried tunnels has indicated that tunnels stability is related to in situ stress state. To quantify these relationships, three‐dimensional finite element modeling was done to analyze the influences that the angle φ between the maximum horizontal principal stress orientation and tunnel axis, and the lateral pressure coefficient K H , had on the tangential stress σ θ in a deep‐buried‐curved tunnel. Based on the in situ stress condition in Qinghai‐Tibet Plateau and its adjacent region, 50 different simulation conditions were used to analyze the relationship that φ and K H had on σ θ for the rock mass surrounding the tunnel. With the simulation data produced, predictive equations were generated for σ θ as a function of φ and K H using multivariate regression analysis. These equations help estimate σ θ at various key positons along the tunnel boundary at Qinghai‐Tibet plateau and its adjacent region. The equations were then proved by a set of typical tunnels to ensure validity. The results concluded that the change in φ has a significant impact on σ θ , and thus, the stability of the tunnel, when 30° < φ < 60°, with the most obvious influence being when φ is about 45°. With the equations, the rockburst potential at a certain location within a curved tunnel can be quickly estimated by calculating φ and K H on σ θ , without need of geo‐stress background knowledge and heavy simulation, allowing for the practical value in engineering at design phase for the projects in Qinghai‐Tibet Plateau and its adjacent region.
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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 | 0.000 |
| 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 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".