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Record W4408495988 · doi:10.1080/19386362.2025.2475892

Temperature-dependent interface and creep modelling of steel piles in frozen ground

2025· article· en· W4408495988 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Geotechnical Engineering · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCreepGeotechnical engineeringPileInterface (matter)GeologyMaterials scienceStructural engineeringEngineeringComposite materialWetting

Abstract

fetched live from OpenAlex

Performance of pile foundations is significantly influenced by the micromechanical behaviour of the pile–soil interface. In frozen ground, the interface behaviour is temperature-dependent and viscous. This study examines the pullout behaviour of a single pile embedded in frozen soil using a two-dimensional axisymmetric finite element model developed with Abaqus software. A cohesive zone model (CZM) is employed along with a penalty type contact interaction to represent the interface behaviour while a time-hardening power-law creep model is used to simulate the viscous response of the interaction. The model is coupled with temperature and verified by data from temperature-controlled laboratory pullout and creep tests of model pile in frozen sand. The findings demonstrated that CZM effectively describes the behaviour of the frozen interface. Conceptual models that account for non-uniform temperature profiles and variable temperature time-series, showcase the significant influence of temperature on the overall performance of pile foundations in cold regions.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.260

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)0.0000.000

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 head0.019
GPT teacher head0.241
Teacher spread0.222 · 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