Dynamic Response of Poroelastic Soil Adjacent to an Axially Vibrating Pile
Bibliographic record
Abstract
Understanding the dynamic behavior of poroelastic soil adjacent to an axially vibrating pile is crucial to the seismic design and vibration reduction of various geotechnical engineering projects; however, few analytical studies exist on this issue to this point. In this study, to obtain the dynamic response of fully saturated soil around and beneath a vibrating pile, the solving scheme of the pile-fictitious soil pile (FSP) coupled model is extended to the pile-porous FSP coupled model and surrounded by multiple poroelastic medium layers with finite thickness. The semianalytical solutions of the pile-porous FSP-saturated soil-coupled vibration system are resolved and verified by existing solutions under different degradation situations. The developed model and the solutions are then employed to investigate the wave propagation mechanism in the fully saturated soil. The results show a certain degree of hysteresis in the fluid phase response during the vibration. As the permeability of the poroelastic material decreases, the hysteresis effect of the fluid phase relative to the solid phase weakens, resulting in an increase in excess pore-fluid pressure and a wider range of influence from the vibration. The conclusions derived from this study can also provide practical guidance for pile testing techniques, such as the parallel seismic (PS) method and low-strain pile integrity test (PIT) onsite.
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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 | 0.001 |
| 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 | 0.001 |
| 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".