Degradation characteristics and bearing capacity model of pile in degraded permafrost
Bibliographic record
Abstract
Global warming has led to increasing pile foundation deterioration in permafrost regions. Theoretical analysis and indoor model tests were used to analyse variations in the shaft resistance and ultimate bearing capacity (UBC) for various permafrost active-layer thicknesses (Za). A relationship for atmospheric temperature, Za and ground temperature was developed. The equivalent adfreezing force was used as an index to evaluate the degradation of pile foundation bearing behaviour and a theoretical model was established. Based on the theoretical degradation model and indoor experimental data, a model was established to reflect the deterioration of pile foundation bearing behaviour in warm permafrost regions. The model was verified using numerical simulations. The results showed that shaft resistance at the ultimate state can be divided into three stages (stable change, rapid increase and attenuation). The depth of the maximum values decreased from −0.40 m to −0.65 m with an increase in Za. The pile head load (Q) against pile head settlement (S) curves were divided into three stages (elastic stage, elastic–plastic and plastic). A greater Za made the plastic stage of the Q–S relationship occur earlier, resulting in a gradual decrease in UBC. The degradation variable (D) of bearing behaviour showed rapidly and then slowly increasing deterioration. This study provides experimental support for clarifying the degradation mechanism of pile foundation bearing behaviour and a degradation model to consider and quantify the impact of climate change on pile foundations in degraded permafrost.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".