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Record W2275821651 · doi:10.2174/1874447801004010023

An Analysis of Baffles Designs for Limiting Fluid Slosh in Partly Filled Tank Trucks

2010· article· en· W2275821651 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

VenueThe Open Transportation Journal · 2010
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsConcordia University
Fundersnot available
KeywordsSlosh dynamicsBaffleAccelerationTruckStructural engineeringMechanicsEngineeringComputational fluid dynamicsTransverse planePhysicsMechanical engineeringAutomotive engineering

Abstract

fetched live from OpenAlex

This study presents an analysis of effectiveness of different designs of baffles, including the conventional, partial and oblique, in limiting the manoeuvre-induced transient as well as steady-state fluid slosh forces and moments in a partly-filled tank truck. The effect of an alternating arrangement of partial baffles is also explored. A three-dimensional computational fluid dynamics model of a partly-filled tank is developed to study the relative anti-slosh properties of different baffles designs and layouts under combined idealized longitudinal and lateral acceleration fields and different cargo loads. The analyses are also performed for a cleanbore tank, which is validated using the widely-used quasi-static slosh model. The results suggest that the conventional transverse baffles offer important resistance to fluid slosh under braking manoeuvres, while the obliquely placed baffles could help limit the longitudinal as well as lateral fluid slosh under combined lateral and longitudinal acceleration excitations.

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 score0.088
Threshold uncertainty score0.361

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 head0.024
GPT teacher head0.298
Teacher spread0.274 · 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