MétaCan
Menu
Back to cohort
Record W1979140450 · doi:10.1504/ijvp.2013.057786

Kineto-dynamic performance analysis of vehicle with an asymmetric suspension damper using a roll-plane model

2013· article· en· W1979140450 on OpenAlexaff
Krishna Prasad Balike, Subhash Rakheja, Ion Stiharu

Bibliographic record

VenueInternational Journal of Vehicle Performance · 2013
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsConcordia University
Fundersnot available
KeywordsDamperChassisStructural engineeringSuspension (topology)KinematicsSprung massAccelerationEngineeringControl theory (sociology)Computer sciencePhysicsMathematicsClassical mechanics

Abstract

fetched live from OpenAlex

This paper presents the study of influences of damper asymmetry together with the suspension kinematics and tyre lateral compliance on the vehicle performance considering a roll-plane model. A 4-DOF, roll-plane model of the road vehicle employing a double wishbone suspension comprising a strut with linear spring and asymmetric damper is formulated for the analyses. The sprung-mass vertical acceleration, chassis roll angle, dynamic tyre forces and the tyres camber angle variation responses of the model with asymmetric dampers are compared with those of the model with an equivalent linear damper under bump and pothole inputs, and rounded-step lateral excitations. The results suggested that the responses are complex functions of damper asymmetry ratio, defined as the ratio of damping coefficient in rebound to that in compression, vehicle forward speed and type of input. The study further suggests that a very low compression mode damping is undesirable from both ride and handling dynamic perspectives.

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 score0.089
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Vehicle PerformanceSame topicVibration Control and Rheological FluidsFrench-language works237,207