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Record W4406417944 · doi:10.1520/gtj20240055

Importance of Sample Height–Diameter Ratio in Triaxial Testing with Free Ends for Determination of the Critical State of Sands

2024· article· en· W4406417944 on OpenAlexaff

Bibliographic record

VenueGeotechnical Testing Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsUniversity of FrederictonBGC Engineering (Canada)
Fundersnot available
KeywordsGeotechnical engineeringGeologyTriaxial shear testSample (material)PetrologyShear (geology)

Abstract

fetched live from OpenAlex

ABSTRACT The use of lubricated free end platens in triaxial testing to promote uniform deformation of the test specimen has a history dating back to the work of D.W. Taylor and others in the 1950s and 1960s, as documented by Rowe and Barden. The performance of critical state triaxial testing programs has become standard industry practice for defining the critical state line (CSL) for silts, sands, and mine tailings to support static liquefaction assessments using a critical state soil mechanics framework. In current practice, the use of free ends is most often combined with the use of a traditional specimen height-to-diameter ratio of 2:1. This paper investigates the effect of the original recommendation of Rowe and Barden, for the use of a 1:1 height-to-diameter ratio in combination with free ends, on the determination of the CSL and other constitutive model parameters for a glaciofluvial feldspathic quartz sand.

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)0.001
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.614
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 head0.027
GPT teacher head0.254
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2024
Admission routes1
Has abstractyes

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