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Record W2095383976 · doi:10.7227/ijmee.34.3.5

Use of Frequency-Domain Concepts in the Analysis and Design of Mechanical Vibrating Systems

2006· article· en· W2095383976 on OpenAlexafffund
C. W. de Silva

Bibliographic record

VenueInternational Journal of Mechanical Engineering Education · 2006
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMechanical impedanceTransmissibility (structural dynamics)Mechanical systemMechanical vibrationVibrationFrequency domainMechanical designDomain (mathematical analysis)Computer scienceFrequency analysisMechanical engineeringAcousticsVibration isolationStructural engineeringElectrical impedanceEngineeringMathematicsPhysicsElectrical engineeringMathematical analysis

Abstract

fetched live from OpenAlex

This paper investigates the frequency-domain approach for some useful types of analysis and design related to problems of mechanical vibration. First, some attractive features of the frequency-domain analysis are noted. The possibility of a unified approach to analysis is indicated through the existence of analogies between mechanical and non-mechanical systems. The uses of mechanical impedance and transmissibility functions in the modeling, analysis, and design of mechanical vibrating systems are illustrated. Applications in the design of vibration isolators and in the analysis of material damping are given to demonstrate the attractive characteristics of some frequency-domain techniques in the field of mechanical vibration. The manner in which the material presented in the paper may be incorporated into an undergraduate core course in mechanical vibration is indicated.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.255
Teacher spread0.241 · 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 designNot applicable
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

Citations2
Published2006
Admission routes2
Has abstractyes

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