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Record W4406119587 · doi:10.22190/fume241003045s

DYNAMIC STABILITY ANALYSIS OF A COUPLED MOVING BOGIE SYSTEM

2024· article· en· W4406119587 on OpenAlexafffund
Vladimir Stojanović, Л. Дімітров, Pancho Tomov, Vlastimir Nikolić

Bibliographic record

VenueFacta Universitatis Series Mechanical Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsLakehead University
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsBogieStability (learning theory)Computer scienceStructural engineeringControl theory (sociology)EngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This study explores the dynamic behavior and vibration stability of a complex moving mechanical oscillator coupled with a three-part viscoelastically connected continuous beam-foundation system. Elastic waves generated by the oscillator can destabilize the system, a scenario common in high-speed trains and vehicles. The paper presents an improved analytical approach, focusing on the effects of a variable primary stiffness suspension on vibration stability. Using the D-decomposition method and the principle of the argument, instability intervals are determined for varying stiffness configurations, highlighting the benefits of nontraditional suspension systems in improving local stability.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.185
Teacher spread0.179 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2024
Admission routes2
Has abstractyes

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