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Record W1991481497 · doi:10.1177/1077546309106526

Generalized Orthogonality Condition for Beams with Intermediate Lumped Masses Subjected to Axial Force

2010· article· en· W1991481497 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Vibration and Control · 2010
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsOntario Tech UniversityUniversity of TorontoUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOrthogonalityBoundary value problemNormal modeVibrationBeam (structure)Mathematical analysisComputationDiagonalMode (computer interface)PhysicsMathematicsModalExact solutions in general relativityGeometryComputer scienceAcousticsOptics

Abstract

fetched live from OpenAlex

The orthogonality of the modes of vibration of a distributed parameter system plays an important role in the study of the dynamic behavior of that system. The definition of orthogonality for beams with classical boundary conditions is well known. However, it has been shown that the exact mode shapes of beams that carry one or more attached lumped masses are not orthogonal to each other under the classic condition. In this paper, the effect of axial force on the orthogonality condition of the exact mode shapes of beams with several attached lumped masses, as well as translational and rotational springs, is investigated. It has been shown that, in contrast to the mode shapes themselves, the orthogonality condition remains unchanged when an axial force is applied. Furthermore, the generalized orthogonality condition is employed to study the dynamic behavior of a beam—mass system under different boundary conditions. It has been shown that for the precise investigation of the dynamic response, application of exact mode shapes is not adequate enough, and the orthogonality condition associated with the problem must also be used. Finally, a discussion of the effect of the orthogonality condition on the damping matrices is presented. It has been shown that using the exact mode shapes and generalized orthogonality condition may result in non-modal and non-diagonal damping matrices, which, in turn, may increase the computation time.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.920
Threshold uncertainty score0.284

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 head0.004
GPT teacher head0.220
Teacher spread0.216 · 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