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Record W4396581262 · doi:10.1177/09544070241245473

An interconnected suspension with adjustable roll and pitch stiffness (IS-ARPS) to enhance anti-roll and anti-dive/squat characteristics

2024· article· en· W4396581262 on OpenAlex
Yukun Lu, Yanjun Huang, Chen Sun, Jiaming Zhong, Amir Khajepour

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 · 2024
Typearticle
Languageen
FieldEngineering
TopicVehicle Dynamics and Control Systems
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSuspension (topology)StiffnessAutomotive engineeringActuatorAccelerationComputer scienceEngineeringStructural engineeringSimulationPhysics

Abstract

fetched live from OpenAlex

The suspension system is critical in maintaining vehicle stability in roll and pitch directions. Hydro-pneumatic interconnected suspension systems, in which the suspension struts are connected through hydraulic hoses, flow control valves, and accumulators, have great potential to further enhance anti-roll and anti-pitch characteristics. To address the existing designs’ shortcomings, this study introduces an interconnected suspension with adjustable roll and pitch stiffness (IS-ARPS). It not only eliminates the conventional anti-roll bars but also enables adjustment of roll stiffness depending on the driving and vehicle load conditions. In the pitch direction, the IS-ARPS provides an additional amount of pitch stiffness to reduce the dive/squat during braking/acceleration. The mathematical modeling of the IS-ARPS is also straightforward, requiring less computational cost and making it more practical for real-time implementations. Overall, the IS-ARPS system represents a significant advancement in the design of roll and pitch coupled interconnected suspensions, offering a more practical and versatile solution. The above features are examined through co-simulation between MATLAB/Simulink and ADAMS/Car.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.004
GPT teacher head0.202
Teacher spread0.198 · 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