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Record W2079664348 · doi:10.1243/0954407041580139

Influence of liquid slosh on ride quality of liquid cargo tank vehicles

2004· article· en· W2079664348 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

VenueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2004
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsPetroleum Technology Research CentreUniversity of Regina
Fundersnot available
KeywordsSlosh dynamicsRide qualitySuspension (topology)Automotive engineeringFrequency domainEngineeringVibrationMarine engineeringVehicle dynamicsStructural engineeringComputer scienceAcousticsPhysics

Abstract

fetched live from OpenAlex

Ride comfort helps to improve driving safety and vehicle control by increasing the stability of the vehicle and reducing driver fatigue. This paper investigates the ride quality of liquid cargo vehicles subjected to sloshing forces generated by the liquid carried in a partially filled tank. A multi- degree-of-freedom model of the dynamic response of the tank vehicle is established for the analysis of ride quality in a low-frequency domain. The dynamic liquid motion within the tank is modelled with a spring-mass sloshing system. Vibration data numerically simulated with the models are prepared as power spectral density (PSD) plots for the vertical and horizontal accelerations of the seat. Influences of various road conditions, liquid fill levels, vehicle speeds and types of seat suspension system on the ride quality of the vehicles are analysed and compared.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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