Modeling of Vehicle-Track-Tunnel-Soil System Considering the Dynamic Interaction between Twin Tunnels in a Poroelastic Half-Space
Bibliographic record
Abstract
The vibration prediction of a vehicle-track-tunnel-soil dynamic system is quite meaningful in engineering practice. However, the complexity involved in modeling the underground environment makes most previous studies ignore the impact of a neighboring tunnel. In this paper, a three-dimensional analytical model is presented to predict the vibrations of the vehicle-track-tunnel-soil system in a poroelastic half-space, with the dynamic interaction of two neighboring tunnels being considered. The vehicle was considered as a multibody system, and the slab and rail were simulated as Euler–Bernoulli beams. The twin tunnels were simplified as cylindrical thin shells, and the soil surrounding the tunnel was simulated as a saturated porous medium. Wave translation and transformation were applied to satisfy the boundary conditions of the interfaces between the tunnels and soil as well as the ground surface. By coupling the twin-tunnel model with the vehicle-track model, an analytical model for the vehicle-track-tunnel-soil system was obtained. The proposed model was validated by means of comparison with the existing solution. The numerical results demonstrate that the neighboring tunnel and water saturation have a significant effect on soil vibrations.
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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 | 0.001 |
| 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 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".