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Record W2007430019 · doi:10.1063/1.3686566

Lateral stress measurements in dense suspensions

2012· article· en· W2007430019 on OpenAlexaff
Oren E. Petel, David L. Frost, Andrew Higgins, Simon Ouellet

Bibliographic record

VenueAIP conference proceedings · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsDefence Research and Development CanadaMcGill University
Fundersnot available
KeywordsSuspension (topology)Materials sciencePiezoresistive effectParticle (ecology)Stress (linguistics)Shock (circulatory)Deformation (meteorology)Ethylene glycolSilicon carbideComposite materialMechanicsPhysicsChemical engineeringEngineering

Abstract

fetched live from OpenAlex

The present study investigates the deviatoric response of dense particle suspensions consisting of silicon carbide suspended in ethylene glycol using piezoresistive stress gages as a means of experimentally measuring the dynamic strength of materials. The validity of the method is first shown in a pure liquid environment, recovering the hydrodynamic behavior of the liquid. The deviatoric response of the dense suspension is indicative of a shock-induced stiffening within the mixture, whereby the stress state is largely influenced by the suspended particles. A mesh-free numerical approach (Smoothed Particle Hydrodynamics) is used to investigate the shock-induced mesostructural deformation of the suspension. The measured deviatoric response of the suspensions is discussed in terms of the formation of inter-particle contact networks, force chains, which result from the shock-induced mesostructural changes in the suspensions.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.461

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 head0.040
GPT teacher head0.297
Teacher spread0.257 · 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 designObservational
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

Citations5
Published2012
Admission routes1
Has abstractyes

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