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Pressure-Driven Suspension Flow near Jamming

2015· article· en· W2062726845 on OpenAlex
Sangwon Oh, Yi‐Qiao Song, Dmitry Garagash, Brice Lecampion, Jean Desroches

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhysical Review Letters · 2015
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsDalhousie University
FundersSchlumberger Foundation
KeywordsJammingSuspension (topology)MechanicsMaterials scienceFlow (mathematics)PhysicsCondensed matter physicsMathematics

Abstract

fetched live from OpenAlex

We report here magnetic resonance imaging measurements performed on suspensions with a bulk solid volume fraction (${\ensuremath{\phi}}_{0}$) up to 0.55 flowing in a pipe. We visualize and quantify spatial distributions of $\ensuremath{\phi}$ and velocity across the pipe at different axial positions. For dense suspensions (${\ensuremath{\phi}}_{0}>0.5$), we found a different behavior compared to the known cases of lower ${\ensuremath{\phi}}_{0}$. Our experimental results demonstrate compaction within the jammed region (characterized by a zero macroscopic shear rate) from the jamming limit ${\ensuremath{\phi}}_{m}\ensuremath{\approx}0.58$ at its outer boundary to the random close packing limit ${\ensuremath{\phi}}_{\text{rcp}}\ensuremath{\approx}0.64$ at the center. Additionally, we show that $\ensuremath{\phi}$ and velocity profiles can be fairly well captured by a frictional rheology accounting for both further compaction of jammed regions as well as normal stress differences.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.684

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)0.0000.001

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 head0.018
GPT teacher head0.248
Teacher spread0.230 · 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