Quantifying the response of piled structures from displacements induced by pile installation in soft clay
Bibliographic record
Abstract
The impact of pile installation in soft soils on its surroundings has been numerically investigated with a focus on the response of an existing piled structure. The originality is the parameterised 3D finite element analyses of far-field soil–structure interaction scenarios, i.e., interactions that are largely driven by mass-displacements. A main finding is that the geometry, which includes the number and length of newly installed and existing piles, the distance between the two pile groups, and also the distance to stiff boundaries in the system (in the field and in the numerical analysis), governs the problem to a large extent. Therefore, to simplify the analysis of such complex cases, modification factors for the displacements in greenfield conditions are proposed, to calculate the displacement and structural response of the existing structure. The proposed non-dimensional factors are a function of the length of the newly installed and existing piles and the distance between the two pile groups. No unique solution exists; hence, a series of charts have been compiled to provide a first assessment of the impact of an existing piled structure on the induced displacements from the installation of a nearby group of displacement piles in soft soil.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".