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Record W2981207718 · doi:10.1080/19386362.2019.1677410

Critical depth of displacement piles in overconsolidated cohesionless soils

2019· article· en· W2981207718 on OpenAlexaff
Adel Hanna, Yasir M. Alharthi

Bibliographic record

VenueInternational Journal of Geotechnical Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsConcordia University
Fundersnot available
KeywordsGeotechnical engineeringPileDisplacement (psychology)GeologySoil waterFailure mechanismEngineeringStructural engineeringSoil science

Abstract

fetched live from OpenAlex

Despite ample research reported on the shaft resistance of closed-end displacement piles, the mechanism of the shaft resistance in cohesionless soils is not fully understood. In the literature, the available theories produce a wide range of discrepancies in predicting the shaft resistance of these piles. This is due to the complexity of incorporating the stress history and recognizing the critical depth. The role of the overconsolidation and the critical depth concept has been the subject of debate for some time. Arguments were made for both sides, nevertheless, no definite conclusion has yet been drawn.This paper presents experimental investigations on the capacity of closed-end displacement piles in overconsolidated cohesionless soils. The set-up was capable of measuring the overconsolidation ratio of the sand, and the shaft resistance of the pile shaft.It is of interest to know that the critical depth was observed only when mean shaft resistance was analyzed.

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.237
Teacher spread0.232 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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