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Record W1998443753 · doi:10.1177/107754630100700402

Development and Analysis of a Simplified Nonlinear Model of a Hydraulic Engine Mount

2001· article· en· W1998443753 on OpenAlexaff
M. F. Golnaraghi, Reza N. Jazar

Bibliographic record

VenueJournal of Vibration and Control · 2001
Typearticle
Languageen
FieldEngineering
TopicVehicle Noise and Vibration Control
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNonlinear systemControl theory (sociology)MountPerturbation (astronomy)Nonlinear modelComputer scienceDescribing functionFlow (mathematics)Displacement (psychology)EngineeringMechanicsMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

This paper concerns nonlinear modeling of a hydraulic engine mount, focusing on the decoupler action. The proposed model is a simple nonlinear function, which describes the flow resistance in terms of the decoupler plate displacement and speed. The flow resistance using this model increases dramatically as the decoupler plate approaches the top or bottom of the decoupler cage. The advantage of the proposed model over the existing ones is its simplicity. Numerical simulation results show the behavior of the model to be realistic. Approximate closed form solutions have been obtained for the system using the multiple scale perturbation method. Perturbation provides a solution for the mount response at resonance. These results match the intuitive and experimental results available in the literature.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.216
Teacher spread0.205 · 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
GenreMethods

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

Citations67
Published2001
Admission routes1
Has abstractyes

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