Bibliographic record
Abstract
A full-scale experimental site with four energy test piles was built on the campus of the Swiss Federal Institute of Technology in Lausanne, Switzerland. This site was used to investigate interaction effects within a group of energy piles. First, the ground constraints were evaluated by testing the piles without any structure on top. Next, each pile was individually tested once the overlying structure was built, which provided information on the structural constraints and allowed the quantification of the pile–structure–pile interactions. Finally, the four test piles were simultaneously heated to quantify the group effects. A thermal response test was performed on one pile and the thermohydraulic response of the soil between the piles was monitored with piezometers and thermistors. Load redistributions may occur in mixed foundations, i.e., with conventional and energy piles, because of differential displacements. Conversely, heating an entire foundation increases the individual pile displacements, but reduces the differential displacements and consequently the pile thermal efforts. Radial strains may also have a significant impact on the axial thermomechanical response of the piles in stiff soil layers. Heat barely propagated farther than a couple of metres with no significant pore-water pressure variation observed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".