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Record W3026930533 · doi:10.2140/memocs.2020.8.127

Modeling the linear dynamics of continuous viscoelastic systems on their infinite-dimensional central subspace

2020· article· en· W3026930533 on OpenAlexfundno aff
Angelo Luongo, Francesco D’Annibale

Bibliographic record

VenueMathematics and Mechanics of Complex Systems · 2020
Typearticle
Languageen
FieldEngineering
TopicVibration and Dynamic Analysis
Canadian institutionsnot available
FundersOtto von Guericke University MagdeburgCollege of Engineering, Michigan State UniversityUniversität Duisburg-EssenBilkent ÜniversitesiFreie Universität BerlinUniversità degli Studi dell'AquilaCentre National de la Recherche ScientifiqueUniversity of North Carolina at Chapel HillUniversität zu KölnUniversità degli Studi di PaviaAkademie Věd České RepublikyUniversité de LyonUniversität WienMcGill UniversityUniversidad Rey Juan CarlosLouisiana State UniversityUniversity of PittsburghIndian National Science AcademyMichigan State UniversityCarnegie Mellon UniversityVanderbilt UniversityWayne State University
KeywordsViscoelasticityDynamics (music)Subspace topologyMathematicsMathematical analysisPhysicsThermodynamicsAcoustics

Abstract

fetched live from OpenAlex

A metamodel of linear viscoelastic continuum is formulated.Internal variables, of arbitrary number, are introduced to describe the viscous part of the strain, and a wide class of constitutive laws, suggested by rheological models, is considered.The spectral properties of the system are discussed.Based on the separation of the eigenvalues occurring when the viscous moduli are small, the system is reduced to its infinite-dimensional central subspace, on which the steady dynamics takes place.Both the center manifold method and the multiple scales method are used to build the reduced model, which is formulated in terms of the only observable variables.Examples relevant to one-, two-, and three-dimensional continua are worked out to illustrate the theory, in conjunction with the standard three-parameter model and the five-parameter model.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.024
GPT teacher head0.209
Teacher spread0.185 · 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 designTheoretical or conceptual
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

Citations3
Published2020
Admission routes1
Has abstractyes

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