Dynamic Response of Saturated Sandy Foundation and Friction Pile under Seismic Action
Bibliographic record
Abstract
Karst landform poses a great challenge to the deep foundation construction of bridges.However, there is little report on the dynamic response of piles under seismic action in karst area.To make up for the gap, this paper mainly explores the pile-soil interaction of saturated sandy foundation under seismic effect.Taking friction pile and saturated sandy foundation as the objects, the authors carried out shaking table tests on how the waveform and peak acceleration of seismic waves affect pore pressure and acceleration response of the soil around the pile.Further, the peak strain distribution of the friction pile was investigated under different sandy foundation conditions.The results show that the pore pressure of saturated sand around the pile first increases rapidly, then stabilizes, and later declines slowly under seismic action; the peak acceleration of saturated sand is negatively correlated with vertical depth; the change of acceleration increases with the proximity to the pile; the earthquake has a dramatic impact on the pile surrounded by saturated sand, i.e. the saturated sandy foundation weakens the seismic resistance of the pile; the peak strain of friction pile is smaller in the middle and greater at the ends; under the same seismic wave, the strain response of the friction pile surrounded by saturated sand is greater than that of the pile surrounded by dry sand.The research results provide a good reference for deep foundation construction in karst area.
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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) | 0.002 | 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".