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Record W2997466840 · doi:10.1520/gtj20190008

Effect of Specimen Preparation on Volumetric Behavior of Sands under Cyclic Multidirectional Shear

2019· article· en· W2997466840 on OpenAlex
Lopamudra Bhaumik, Cassandra J. Rutherford, Scott M. Olson, Youssef M. A. Hashash, Alfonso Cerna-Díaz, Ozgun A. Numanoglu, Thomas J. Weaver

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGeotechnical Testing Journal · 2019
Typearticle
Languageen
FieldEngineering
TopicGrouting, Rheology, and Soil Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsGeotechnical engineeringShear (geology)GeologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Abstract Laboratory specimen preparation methods can significantly influence the dynamic shear-induced volumetric response of sands. In this study, a medium dense to very dense Ottawa sand (relative density, DR = ∼60–95 %) was systematically tested using a multidirectional cyclic direct simple shear device to evaluate the influence of specimen preparation on drained cyclic volumetric strain. Both unidirectional and bidirectional cyclic loads were applied to specimens created using four preparation techniques: dry funnel deposition, dry soil raining, dry funnel deposition followed by table vibrations, and dry funnel deposition followed by cyclic shearing. The results indicate that as DR increases, the effect of specimen preparation on volumetric strain decreases. Specifically, the results illustrate that volumetric strain of medium dense sand (DR = 57–74 %) is affected by specimen preparation, which is consistent with the literature. In contrast, dense to very dense specimens (DR > 80 %) exhibited comparable volumetric strain independent of the specimen preparation method. This observation is consistent for both unidirectional and bidirectional cyclic loading.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.132
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.013
GPT teacher head0.262
Teacher spread0.248 · 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