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Record W1996106593 · doi:10.1080/14786430500363403

On elastic and viscoelastic helices

2005· article· en· W1996106593 on OpenAlexafffundabout
Hamid Shahsavari, Martin Ostoja‐Starzewski

Bibliographic record

VenueThe Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics · 2005
Typearticle
Languageen
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsViscoelasticityCorrespondence principle (sociology)Poisson's ratioConstitutive equationPhysicsMathematical analysisMaterials scienceClassical mechanicsMathematicsPoisson distributionThermodynamicsFinite element method

Abstract

fetched live from OpenAlex

Abstract Under consideration are helices made of linear elastic and viscoelastic materials, henceforth called elastic and viscoelastic helices. While the effective (macro level) mechanical response of any helix exhibits coupling of axial with torsional responses, of interest in this study is the derivation of that response from mechanics of a single helical strand (micro level). First, using the earlier results of Costello [Theory of Wire Rope (Springer, New York, 1997)], we develop explicit forms of all the effective constitutive coefficients of a linear elastic helix and plot their dependencies on the geometry and material constants of the strand. Next, using the correspondence principle of viscoelasticity, we derive differential equations of a helix at the macro level by considering three types of viscoelastic models of the strand: Kelvin, Maxwell, and Zener. In general, the helix macro level linear viscoelastic response is different in type (and more complex) from that of the viscoelastic material at the micro level. It is only in the singular case of the strand material's Poisson ratio equal to zero that the type of viscoelastic response is qualitatively the same (i.e. governed by the same order differential equation) as the viscoelastic response of the strand at the micro level. Consequently, direct viscoelastic generalizations of effective constitutive equations of helices, not based on analyses such as those presented here, are likely to be invalid. Acknowledgement Comments of two anonymous reviewers are appreciated. This work was made possible through support by the NSERC and Canada Research Chairs program.

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 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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.422

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 head0.009
GPT teacher head0.228
Teacher spread0.219 · 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 teacher head, 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

Citations8
Published2005
Admission routes3
Has abstractyes

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