MétaCan
Menu
Back to cohort
Record W2094561487 · doi:10.1504/ijvd.2008.020884

Damping requirement of a suspension seat subject to low frequency vehicle vibration and shock

2008· article· en· W2094561487 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 Vehicle Design · 2008
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsConcordia University
Fundersnot available
KeywordsVibrationSuspension (topology)Shock absorberEngineeringVibration isolationShock (circulatory)Transient (computer programming)Structural engineeringRide qualityAutomotive engineeringAttenuationAcousticsPhysicsComputer science

Abstract

fetched live from OpenAlex

Vibration attenuation performance characteristics of a suspension seat are investigated under excitations arising from different road and off-road vehicles. A Two-Degrees-of-Freedom (2-DOF) model of the suspension seat is formulated upon integration of component models, and consideration of the end-stop impacts and potential body-hop motions. Validated analytical model is applied to identify the desirable damping parameters, to achieve improved attenuation of continuous and transient vibration of varying intensities. The results, suggest that a suspension design with relatively higher compression and rebound mode damping would be desirable for realising improved shock and vibration isolation performance for vehicles with predominantly low frequency ride vibration.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.339

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 head0.027
GPT teacher head0.244
Teacher spread0.217 · 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