Dynamic Response of a Partially Debonded Circular Lined Tunnel in the Overburden to SH-Wave
Bibliographic record
Abstract
Using complex variable function and wave function expansion, this paper obtains the analytical solution to the scattering of steady-state planar SH-wave on a partially debonded circular lined tunnel in the overburden, and analyzes the accuracy of the solution.By the big circle method, the straight boundary between soil layers was converted into an arc boundary.Under continuous boundary conditions, the scattered wave field of debonded structure was constructed through Fourier series expansion, eliminating the need to process singular points on the edge of the debonded lining.According to the boundary conditions, a set of infinite integral equations was established, and solved by intercepting finite terms.After that, a numerical example was introduced to reveal how the dynamic stress concentration factor (DSCF) of the lining is affected by incident frequency, soil layer parameters, lining material, and debonding position.The results show that the DSCF of the partially debonded circular lined tunnel was obviously amplified by the soft overburden, but shielded by the hard overburden; Judging by the distribution and value of outer wall DSCF, rigid lining is affected by debonding more significantly than flexible lining.
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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 | 0.001 |
| 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".