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Record W2028366650 · doi:10.1002/adem.200900305

Stress Concentration Factors and Weight Functions in Thin Notched Structures of Equibiaxial Anisotropic Materials

2010· article· en· W2028366650 on OpenAlex

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

VenueAdvanced Engineering Materials · 2010
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMaterials scienceIsotropyAnisotropyComposite materialStress (linguistics)Stress concentrationWeight functionTension (geology)Fracture mechanicsCompression (physics)OpticsMathematicsMathematical analysisPhysics

Abstract

fetched live from OpenAlex

Abstract In notched structures, the influence of the notch on the structural strength of the component can be described by a stress concentration factor or—in the presence of cracks–a weight function. Numerous stress concentration factor and weight function solutions are available to the engineer, but regrettably almost exclusively for isotropic materials. In the present study, stress concentration factors and weight functions are calculated for equibiaxial anisotropic materials. The geometry under investigation is a flat plate in tension containing a central hole. The calculated results show that the elastic anisotropic material behavior can significantly influence the magnitude of both stress concentration factors and weight functions.

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 score0.030
Threshold uncertainty score0.894

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 head0.006
GPT teacher head0.210
Teacher spread0.204 · 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