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Record W7071137078

Scaled Physical Modeling of the Dynamics of Granular Flow in Hopper Silos

2021· article· en· W7071137078 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.

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldComputer Science
TopicQR Code Applications and Technologies
Canadian institutionsWestern University
Fundersnot available
KeywordsSiloGranular materialOutflowFlow (mathematics)Particle image velocimetryBody orificeInformation siloParticle (ecology)Volumetric flow rate
DOInot available

Abstract

fetched live from OpenAlex

To understand the challenges on grain flow during handling in hoppers and silos require better understanding of the granular physical flow characteristics through experiments done at large scale. However, due to the complexity of the large, controlled tests, scaled models are often used to study the behaviour. Very few of these model scale studies had been done appropriately taking the effects of gravity on silo discharge into account. This subject has also been widely investigated in different areas of geotechnical engineering related to soil erosion, land slides, and dynamic liquefaction. Granular flow rate and the dynamics of the flow are also studied in fields like chemical, mining and material engineering. Two conditions for scaled model testing have been investigated in this study: the dynamics of the granular flow at natural gravity and enhanced gravities of 1.9, 3.8, 7.7 and 11.7 g conducted in a centrifuge. The granular outflow tests have covered the features of the granular shear flow, outflow rates and deformation patterns. The observed granular flow rates (W) for the novel half hopper model under natural and enhanced gravities were then estimated from the Beverloo et al. (1961) relations and were compared. Particle image velocimetry was used to study the vertical particle velocity profiles and the flow deformation patterns during the natural and enhanced gravity tests. The granular flow rate was found to be directly proportional to the ratio of orifice size and influenced by the soil particle size (W ∝ Do/d). However, this comparison was found to be more applicable for cohesionless soils compared to soils with small cohesions. The results in this study show that the flow mechanisms in a cylindrical hopper are quite complex and vary both temporally and spatially. Three distinct zones of behaviour were observed from the particle image velocimetry analysis: a) an upper inflow zone, b) a narrow vertical funnel flow zone and c) a near static stagnant zone. For the enhanced gravity tests, the mass flow direction inside and outside of the hopper was observed to be influenced by the resultant inclined vector of the enhanced gravity due to the combined effect of the centrifuge rotation and Earth’s gravity.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
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 head0.054
GPT teacher head0.278
Teacher spread0.223 · 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