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Record W2120907072 · doi:10.1177/1081286512462305

Multi-coating an inclusion of arbitrary shape to achieve uniformity of interior stresses

2012· article· en· W2120907072 on OpenAlex
Xu Wang, Peter Schiavone

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.

Bibliographic record

VenueMathematics and Mechanics of Solids · 2012
Typearticle
Languageen
FieldEngineering
TopicComposite Material Mechanics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInclusion (mineral)Internal stressCoatingInvisibilityStress fieldField (mathematics)Stress (linguistics)Materials scienceMatrix (chemical analysis)GeometryPlane (geometry)Composite materialMathematicsOpticsPhysicsStructural engineeringFinite element methodEngineeringPure mathematics

Abstract

fetched live from OpenAlex

The idea of a multi-coating has been used extensively in the design of invisibility cloaks in which the objective is to achieve near-invisibility of a particular structure. To this end, this paper is concerned with the internal stress field of an elastic inclusion of arbitrary shape bonded to the surrounding matrix through multiple coatings when the matrix is subjected to remote uniform anti-plane stresses. For any number of intermediate coatings, we identify non-elliptical shapes of the inclusion leading to an internal uniform stress field. The problem is solved analytically for an inclusion of arbitrary shape with two coatings, and iteratively for an inclusion of arbitrary shape with three or more coatings. Our results indicate that the shape of an inclusion permitting an internal uniform stress field can essentially be arbitrary when the number of the coatings is sufficiently large.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.581

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 science0.0000.001
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 head0.019
GPT teacher head0.252
Teacher spread0.233 · 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