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Record W1966328324 · doi:10.1177/1045389x05048330

Analytical and Experimental Study of the Response of a Suspension System with a Magnetorheological Damper

2005· article· en· W1966328324 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

VenueJournal of Intelligent Material Systems and Structures · 2005
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMagnetorheological damperMagnetorheological fluidDamperControl theory (sociology)Nonlinear systemLinearizationSuspension (topology)HysteresisEngineeringSystem identificationStructural engineeringPhysicsMathematicsComputer scienceData modeling

Abstract

fetched live from OpenAlex

A single-degree-of-freedom suspension system with a magnetorheological (MR) damper is studied. A Bouc-Wen hysteretic model is adopted to represent the nonlinear hysteretic damping force of an MR damper. The model parameter identification process is carried out based on the experimental data. The equivalent linearization and the averaging methods are employed to simplify the hysteretic nonlinear model of the system, and to obtain the system response under sinusoidal base excitation. The results obtained by these two approximate methods are compared with the results obtained from the experiments and the numerical simulation method when a swept sine excitation with amplitudes of 0.5 and 0.75 mm is applied to the system. The comparison shows that the results obtained by the equivalent linearization method and the averaging method are very similar and have a good agreement with both the experimental and the numerical results. Moreover, the effects of the hysteretic model parameters are investigated after the system dynamical equations are nondimensionalized.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.192

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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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