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Record W2495957214 · doi:10.1061/9780784480021.006

Pile-Soil Interactions under Thermo-Mechanical Conditions Imposed by Geothermal Energy Piles in Sand

2016· article· en· W2495957214 on OpenAlexaboutno aff
Rajni Saggu, Tanusree Chakraborty

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPileGeotechnical engineeringFinite element methodStress (linguistics)GeologyShear stressMaterials scienceStructural engineeringEngineeringComposite material

Abstract

fetched live from OpenAlex

The load transfer mechanism of the geothermal energy piles involves thermal soil-structure interaction. In the present work, pile-soil interaction is investigated for the energy piles using axisymmetric nonlinear finite element analysis procedure. For the analyses carried out herein, the stress-strain response of piles is considered to be linear-elastic. The stress-strain response of sand is simulated using state parameter based constitutive model CASM. The CASM model is implemented in finite element software Abaqus through user material subroutine. Floating geothermal energy piles of different lengths and diameters in sand are analyzed under allowable axial loading and thermal loading. Two types of sands namely Ottawa sand and Toyoura sand are considered for analyses. The shear stress in soil at the pile-soil interface is studied. In addition, parametric sensitivity studies are performed by varying relative density of sand and coefficient of earth pressure of sand. It has been observed from the results that pile length, relative density of the soil and the axial load magnitude are the key parameters in deciding the load-displacement response of geothermal energy piles subjected to thermo-mechanical loading. Moreover, the soil particle shape and size also affect the magnitude of shear stress in soil at pile-soil interface. Negative shear stress generates at the pile-soil interface when subjected to thermal loading which causes the drag load on the pile.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations5
Published2016
Admission routes1
Has abstractyes

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