Compensated piled rafts in clayey soils: behaviour, measurements, and predictions
Bibliographic record
Abstract
This paper presents a method of analysis of the behaviour of piled rafts in clayey soils, in which a deep excavation was necessary for buildings with two or more basements. In these cases, the piled raft foundations are called a “compensated piled raft.” The soil stresses reduce due to excavation, and the reloading of the soil should be taken into account for this kind of foundation. Many important factors that are required to achieve a satisfactory comparison of “measurement versus prediction” are pointed out, and they are grouped in a proposed simplified method of analysing compensated piled rafts using numerical tools that can consider the raft–soil–pile interaction. Finally, two well-known cases of compensated piled rafts (Hyde Park Barracks in London and the Messeturm building in Frankfurt) and a newer building (the Skyper Tower, Frankfurt) are analyzed using the presented approach and the computed and measured time–settlement behaviours are compared.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".