Enhanced analysis of pile flexural behavior due to installation of adjacent pile
Bibliographic record
Abstract
The installation of piles causes lateral soil movements which will induce additional lateral loading on adjacent existing piles. A simplified two-stage approach is conventionally adopted to quantify the installation effect on an adjacent pile. The first stage involves estimating the free-field lateral soil movement profile due to the pile installation process, and this is then applied as input to a pile–soil interaction analysis in the second stage. Such an approach is computationally efficient, but its efficacy has not been rigorously assessed due to the lack of reliable rigorous reference solutions. In this study, the Eulerian finite element approach is applied to obtain rigorous reference solutions for the response of an existing pile due to the installation of an adjacent pile. The efficacy of the two-stage approach is then evaluated against these reference solutions. It is found that the bending moment profiles generated using the simplified two-stage approach deviate significantly from the reference solutions. The shortcomings of the existing two-stage approach are identified, and an improved analysis method denoted as the Enhanced Multi-Stage Approach is proposed and validated in this paper. The results based on the Enhanced Multi-Stage Approach are found to be in good agreement with the more rigorous reference solutions.
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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 | 0.001 | 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 | 0.000 |
| 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".