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Record W4405494207 · doi:10.1093/qjmam/hbae012

A Neutral Isotropic Elastic Ellipsoidal Inhomogeneity with a Spring-Type Imperfect Interface

2024· article· en· W4405494207 on OpenAlexafffund
Xu Wang, Peter Schiavone

Bibliographic record

VenueThe Quarterly Journal of Mechanics and Applied Mathematics · 2024
Typearticle
Languageen
FieldEngineering
TopicComposite Material Mechanics
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsImperfectSpring (device)IsotropyEllipsoidInterface (matter)Type (biology)Materials scienceGeologyGeometryPhysicsMechanicsMathematicsOpticsThermodynamicsGeodesyPhilosophy

Abstract

fetched live from OpenAlex

Summary We study the design of an imperfectly bonded neutral isotropic elastic ellipsoidal inhomogeneity that does not disturb the prescribed uniform normal stresses in an isotropic elastic matrix. The imperfect inhomogeneity-matrix interface is modeled by a spring-type imperfect interface characterized by a single imperfect interface function. The same degree of interface imperfection is realized in both the normal and tangential directions. The two loading parameters and the imperfect interface function are determined by solving a resulting cubic equation for each one of the three types of elastic constants of the composite. All three roots of the cubic equation are permissible provided that the Young’s modulus (for the first two types) or the Poisson’s ratio (for the third type) of the inhomogeneity is higher or lower than that corresponding to the matrix. The design of a neutral superellipsoidal or paraboloidal elastic inhomogeneity with another kind of spring-type interface that does not sustain shear traction under a prescribed uniform hydrostatic stress field in the matrix is also achieved.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.582

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 head0.007
GPT teacher head0.205
Teacher spread0.198 · 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 designSimulation or modeling
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
Published2024
Admission routes2
Has abstractyes

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