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Record W2803625342 · doi:10.1520/gtj20170152

Experimental and Simple Semiempirical Methods for Interpreting the Axial Load Versus Settlement Behaviors of Single Model Piles in Unsaturated Sands

2018· article· en· W2803625342 on OpenAlexaff
Sai K. Vanapalli, Mohamadjavad Sheikhtaheri, Won Taek Oh

Bibliographic record

VenueGeotechnical Testing Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversity of New BrunswickAmec Foster Wheeler (Canada)University of Ottawa
Fundersnot available
KeywordsGeotechnical engineeringSettlement (finance)Simple (philosophy)GeologyComputer science

Abstract

fetched live from OpenAlex

Abstract Experimental studies were undertaken to investigate the vertical load versus displacement behavior of single model piles in sand (i.e., Unimin 7030 sand) under both saturated and unsaturated conditions. Stainless steel model piles with three different diameters (i.e., 19.25, 31.75, and 38.3 mm) with a length of 350 mm were used to conduct the pile load tests. Semiempirical methods were proposed to successfully predict the variation of end- and shaft-bearing capacities of single piles with respect to matric suction by modifying three conventional end-bearing capacity equations (Terzaghi 1943; Hansen 1970; Janbu 1976) and the β-method (Burland 1973), respectively. In addition, finite element analyses were also carried out to simulate vertical load versus settlement behaviors of model pile tests using a commercial finite element software, SIGMA/W (GeoStudio 2007).

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)0.002
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.060
GPT teacher head0.354
Teacher spread0.294 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

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