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Record W4320517349 · doi:10.1061/jggefk.gteng-10218

Pile Group Response to Thermal Cycles and Associated Alterations in Soil Response

2023· article· en· W4320517349 on OpenAlexaboutno aff
Rajni Saggu, K. S. Sarma

Bibliographic record

VenueJournal of Geotechnical and Geoenvironmental Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
Fundersnot available
KeywordsPileGeotechnical engineeringDisplacement (psychology)Dynamic load testingPile capGeology

Abstract

fetched live from OpenAlex

In this study, the thermomechanical response of the pile group and associated impacts on surrounding soil are explored numerically for different (1) layouts of energy and conventional piles, (2) soil types, and (3) pile spacing for the pile groups in Ottawa sand and Toyoura sand. The study outcomes demonstrate cyclic alterations in load–displacement characteristics of the piles and the soil during cyclic thermal loading and unloading of energy piles. Conventional piles exhibit uplift when energy piles are thermally loaded, with notable differential pile base displacement. Higher pile spacing results in decreased thermomechanical stresses in the piles. Compared with the middle energy pile in the same row, the corner energy pile experiences significant axial stresses. The radial stresses in the soil at the pile–soil contact increase due to the cyclic thermal expansion of energy piles. In addition, the layout of energy piles, pile location, soil type, and pile spacing control the load-transfer response of pile groups.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

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 studies0.0000.000
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 head0.005
GPT teacher head0.190
Teacher spread0.185 · 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 designObservational
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

Citations12
Published2023
Admission routes1
Has abstractyes

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