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Record W2912536338 · doi:10.29252/jafm.11.02.28262

Porous Media Flow Transitioning into the Forchheimer Regime: a PIV Study

2018· article· en· W2912536338 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Applied Fluid Mechanics · 2018
Typearticle
Languageen
FieldEngineering
TopicHeat and Mass Transfer in Porous Media
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPorous mediumInertiaMechanicsFlow (mathematics)Particle image velocimetryFlow velocityMaterials sciencePorosityPhysicsClassical mechanicsTurbulenceGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

One of the essential areas of the study of transport in porous medium is the flow phenomena at the onset of inertia.While this area has attracted considerable research interest, many fundamental questions remain.Such questions relate to things such as the nature of the multi-dimensional velocities of the flow, the evolution of inertia, the differences in flow phenomena at various complexity of porous media, and the best constitutive equation for the flow.To resolve some of these questions, the present research program was designed to experimentally investigate pressure-driven flow through two-and three-dimensional porous media at the onset of inertia.Specifically, the goals in view were to obtain velocity data and pressure measurements, apply the benchmark experimental data to study the evolution of inertia, distinguish differences in such evolution with respect to the parameters of the porous media, and to establish the constitutive equation that best describes the porous media flow when inertia sets in.What particularly sets this work apart, is the use of particle image velocimetry (PIV) -an experimental technique that captures multi-dimensional flow quantities, as opposed to mere flow rates.Using PIV then, detailed velocity measurements were conducted for flows through model porous media of solid volume fraction 6%, 12%, and 22%.The velocities were spatially averaged to obtain average streamwise and transverse components.In addition to the velocity measurements, differential pressure measurements were obtained using pressure-measurement gauges and transducers.The pressure and velocity data sets were then statistically analyzed and presented to provide a complete set of experimental data to characterize the flow through the model porous media.The results show that the velocity flow domain is dictated by the streamwise velocities, which are at least an order of magnitude greater than the transverse components.Furthermore, pressure drag was found to increase with compactness and complexity of the porous media.While inertia increases exponentially from particle Reynolds number ~ 1 -3 onwards, it is apparently subdued by the form drag that tends to dominate the flow through complex media.Overall, the flow at the onset of inertia is best described by a power law.These results provide insights that are applicable to flows such as those near well bores and fractures where seepage velocities are relatively high.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.392
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.011
GPT teacher head0.217
Teacher spread0.207 · 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