Analysis of Abnormal Use of Cement Paste in Perfusion during Tunnel Construction using TBM
Bibliographic record
Abstract
During underground tunnel construction, rock burst causes substantial problems and impacts on the perfusion material use. This article explores the influences of rock burst on a construction project in a highly complex geological area in Tibet, including segment oscillation, injection port design, segments sealing, and slurry leakage, which contribute to the abnormal use of cement slurry during TBM tunneling. After comprehensively examined the reasons for the abnormal cement slurry filling during the TBM tunneling, we reach the conclusions that, in this tunnel, it is normal for the cement slurry volume to exceed its originally designed volume. The multiple factors affecting the cement slurry perfusion can be classified into three categories, including geological factors such as high ground stress, rock burst, and the complexity of the tectonic structure, human-made factors such as imperfect segment design and infusion hole design, and mechanical factors such as the reserved deformation and excavation adjustment due to rock burst. Abnormal perfusion does not result in any decreased quality in the backfill perfusion. Based on these conclusions, this paper also proposes recommendations to solve the abnormal use of the cement filling during the tunneling.
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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".