Experimental study on physical modeling of deformation control effects of NPR anchor cable primary support structures in tunnels through faults
Bibliographic record
Abstract
TaBaiyi tunnel is located in the Yunnan plateau mountainous area. The tunnel in the process of crossing the shattered fault zone paragraph, loose, fractured rock in the multi-field stress coupling, the surrounding rock large deformation, and other damage phenomena frequently occur, causing the near ordinary section of the initial support structure of the phenomenon of secondary subsidence damage to the safety and cost of the tunnel brought great difficulties. This study conducts physical modeling tests to investigate the effectiveness of the NPR anchor cable support system for tunnels penetrating shattered fault zone at various depths. It employs strain gauges, anchor cable axial force gauges, infrared cameras, and a non-contact strain measurement system (DIC) to record the displacement field, mechanical response, and the transformation pattern between energy fields of the surrounding rock and the support structure during the tunnel excavation. A 100 m experimental section of research is performed at the project site to verify the effectiveness of the support. The results indicated that excavation in the shattered fault zone can destroy the stress equilibrium between the surrounding rock and the support structure in the tunnel's ordinary section, accelerating the settlement and deformation rate of the surrounding rock. In addition, the NPR anchor cable support system can control the deformation of the surrounding rock, providing a theoretical foundation and practical guidance for the design of support for tunnels through shattered fault zone in similar engineering contexts.
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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 | 0.000 |
| 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) | 0.001 | 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".