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Record W2165259138 · doi:10.1177/1081286511417297

On the non-uniqueness of solution in surface elasticity theory

2011· article· en· W2165259138 on OpenAlexaff
Jun Zhu, C. Q. Ru, Weiqiu Chen

Bibliographic record

VenueMathematics and Mechanics of Solids · 2011
Typearticle
Languageen
FieldEngineering
TopicComposite Material Mechanics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsUniquenessElasticity (physics)Elastic modulusElastic energyLinear elasticitySurface energyMathematical analysisSurface (topology)MathematicsStrain energyClassical mechanicsMaterials scienceGeometryPhysicsThermodynamicsComposite materialFinite element method

Abstract

fetched live from OpenAlex

Recent researches have shown that the surface energy of some real elastic solids is unlikely to be positive semi-definite. Motivated by this, the present work studies counter-examples for uniqueness of the solution of surface elasticity theory in simple three-dimensional spherically symmetric and two-dimensional axi-symmetrical deformations. Simple sufficient conditions are derived for non-uniqueness of the solution in terms of bulk elastic modulus, surface elastic modulus and geometrical parameters of the elastic body. Unlike the non-uniqueness conditions for classical linear elasticity, which are given in terms of elastic constants alone, the geometrical dimensions of the elastic body play a key role in the non-uniqueness of the solution of surface elasticity theory. Roughly speaking, the solution of surface elasticity models can be non-unique if the smallest characteristic dimension of the body (such as thickness of a thin body, or diameter of a small body or a small hole in an elastic body) is below a certain critical value so that the magnitude of negative surface energy can compete with the positive bulk strain energy of the elastic body. For example, using the available data for the negative surface modulus suggested in the literature, our results predict that the solution could be non-unique for softer materials (such as rubbers) when the smallest characteristic dimension of the elastic body is below typically 1 µm. This result could predict self-buckling of softer elastic thin films in the presence of significant surface stresses.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.201
Teacher spread0.183 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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