GEOTHERMAL ENERGY PILE-SOIL INTERACTION UNDER MECHANICAL LOADING AND THERMAL CYCLES
Bibliographic record
Abstract
Harvesting shallow geothermal energy for heating and cooling building spaces in winter and summer is considered environmentally friendly and renewable. Recently, geothermal energy piles have been used as heat exchanger elements in ground source heat pump systems to exchange heat with the ground underneath buildings for heating and cooling purposes. However, imposing thermal cycles on such piles may result in possible adverse effects on their structural and geotechnical performance. A comprehensive understanding of the behavior of geothermal energy piles is therefore vital for the successful applications of such systems. This paper aims to investigate the interaction between the soil and geothermal energy pile subjected to a combination of mechanical loading and thermal cycles. Coupled thermo-hydro-mechanical (THM) finite element analyses were carried out on a hypothetical geothermal energy pile using climatic and geological conditions in Winnipeg, Manitoba, Canada. Numerical results were presented in this paper in terms of pile head displacements, strains, and stresses developed in the pile, as well as shaft friction and effective radial stresses along the pile-soil interface. The effects of heating and cooling on the ultimate geotechnical pile capacity were also presented. Based on the numerical results, it was found that the thermo-mechanical loads have considerable effects on the geothermal energy pile responses.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".