Evaluation of the effect of rolling correction of double-o-tunnel shields via one-side loading
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
During construction of a double-o-tunnel (DOT), rolling will inevitably occur due to the following: (i) nonuniformity of subsoil condition, (ii) manufacturing errors in the DOT shield machine, (iii) different pulling forces at two sides of the DOT, (iv) effect of assembled segments, (v) loss of grout, and (vi) inappropriate operation. In engineering practice, rolling correction using a one-side load at the elevated side is a cost-effective method. The weight of the one-side load is determined by the experience of the engineers and (or) through observation of the returned rolling angle. However, these methods cannot predict the value of the one-side load before applying it. This paper presents a series of finite element analyses that was performed to investigate the relationship among the one-side load, rolling angle, and subsoil deformation. The analytical results show that the proposed approach can predict field-observed data well. It is concluded that analytical results can be used as guidance for DOT construction.
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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 | 0.002 | 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 it