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Record W2509060893 · doi:10.1061/9780784480137.015

Settlement Response of a Geothermal Energy Pile Group in Sand

2016· article· en· W2509060893 on OpenAlexaboutno aff
Rajni Saggu, Tanusree Chakraborty

Bibliographic record

VenueGeo-Chicago 2016 · 2016
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPileGeotechnical engineeringGeothermal gradientGeothermal energyFinite element methodSettlement (finance)Stress (linguistics)Displacement (psychology)Structural engineeringGeologyThermalEngineeringComputer science

Abstract

fetched live from OpenAlex

The geothermal piles are used as a group in major construction projects. Geothermal energy piles provide sustainable energy alternative for residential and commercial buildings worldwide. In spite of the growing recognition of the benefits of energy piles, there is a still a knowledge gap about the load transfer mechanism of pile groups under thermo-mechanical loading. In the present study, thermo-mechanical response of geothermal energy pile groups in sand has been studied using three dimensional nonlinear finite element analysis procedure. A pile cap is considered on the piles. Stress-strain responses of piles and pile cap are considered linear elastic. The stress-strain response of sand is simulated using a state parameter based constitutive model CASM. The CASM model has been implemented in finite element software Abaqus through user defined material subroutine. The geothermal energy pile group has been analyzed for different combinations of thermal and non-thermal piles in the group in a single layer of Ottawa sand. Analyses have been performed by varying the spacing between the piles. Analysis results have been studied for the displacement at the base of the piles. It is observed from the results the load carried by the thermal piles increases due to heating induced excess load in the pile. For non-thermal piles however, unloading of the pile happens during heating of the thermal piles and base displacement decreases. Heating of thermal piles also causes expansion of these piles in upward direction, thus, the piles pushing the pile cap along with it in the upward direction. Differential settlement at the pile base is observed for the groups containing both thermal and non-thermal piles.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.009
GPT teacher head0.220
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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