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Record W4248109384 · doi:10.1504/ijhvs.2017.087241

Effect of baffle geometry and air pressure on transient fluid slosh in partially filled tanks

2017· article· en· W4248109384 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

VenueInternational Journal of Heavy Vehicle Systems · 2017
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsConcordia University
Fundersnot available
KeywordsBaffleSlosh dynamicsMechanicsComputational fluid dynamicsTransient (computer programming)AccelerationStructural engineeringEngineeringFlow (mathematics)PhysicsMechanical engineeringClassical mechanics

Abstract

fetched live from OpenAlex

Effects of baffle geometric parameters such as curvature, opening size and shape, and inclination on the transient load shift and slosh forces within a partly filled liquid tank are investigated under longitudinal and lateral acceleration fields using computational fluid dynamic (CFD) methods. Validity of the simulations is illustrated considering steady-state responses, and fundamental slosh frequencies of cleanbore and baffled tanks. The slosh forces imposed on the baffles and end caps are evaluated for different baffle design parameters. The results suggest that the liquid cargo load shift, longitudinal and lateral forces, and pitch moment due to transient fluid slosh are strongly influenced by the baffle shape, and opening size. It is further shown that sloshing with medium to high fill levels can cause substantial increase in pressure of air trapped between the end cap and baffle, and between adjacent baffles, which contributes considerably to the resultant forces on the baffles and opposes the force due to liquid phase of the flow.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.364

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 head0.006
GPT teacher head0.261
Teacher spread0.255 · 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