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Record W2012461854 · doi:10.1115/detc2005-85102

Dynamic Analysis and Simulation of Vehicles Carrying Liquids During Braking

2005· article· en· W2012461854 on OpenAlexaff
Mohammad Biglarbegian, Jean W. Zu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVehicle Dynamics and Control Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSlosh dynamicsTractorMoment (physics)Suspension (topology)Automotive engineeringVehicle dynamicsAccelerationEngineeringVolume (thermodynamics)Marine engineeringControl theory (sociology)Computer scienceStructural engineeringPhysicsMathematics

Abstract

fetched live from OpenAlex

This paper presents two dynamic models of vehicles carrying liquids, namely single tractor and tractor-semitrailer. Both models incorporate suspension system and tire dynamics. Vehicles carrying fluids feature two subsystems: vehicle body and fluid subsystems. These two subsystems are coupled and to simplify the complicated solution, the coupled equations are solved separately using two different codes. Different braking moments are applied to the models and their dynamic behaviors are determined. It is shown that tractor-semitrailers need more braking moment than single tractor ones. As well, it turns out vehicles carrying fluids need a greater amount of moment in comparison to vehicles carrying solids to come to a complete standstill. Lastly, as the level of fluid inside the tanker increases (33% to 66%), the sloshing forces to the tanker’s walls increase. Therefore, it is revealed that tankers should be specially designed to address the characteristics and volume of fluid inside the tanker.

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.

How this classification was reachedexpand

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 score0.052
Threshold uncertainty score0.325

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 head0.003
GPT teacher head0.203
Teacher spread0.200 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2005
Admission routes1
Has abstractyes

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