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External Crack in Torsion in an Infinite Non-Homogeneous Medium with a Non-Homogeneous Cylindrical Inclusion

2001· article· en· W2018143709 on OpenAlexaff
Jan Vrbik, Brij Mohan Singh, Jon Rokne, Ranjit S. Dhaliwal

Bibliographic record

VenueZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik · 2001
Typearticle
Languageen
FieldEngineering
TopicNumerical methods in engineering
Canadian institutionsUniversity of CalgaryBrock University
Fundersnot available
KeywordsStress intensity factorSingularityShear modulusAntiplane shearTorsion (gastropod)HomogeneousFredholm integral equationModuliShear stressMathematical analysisShear (geology)ModulusMaterials scienceGeometryMathematicsMechanicsIntegral equationFracture mechanicsComposite materialPhysics

Abstract

fetched live from OpenAlex

This paper deals with the determination of stresses in a non-homogeneous infinite medium containing an external crack surrounding a non-homogeneous cylindrical inclusion. The crack occupies the region outside the circle surrounding the cylindrical inclusion. The cylindrical inclusion (fiber) and the infinite medium (matrix) have different shear moduli. The external crack is opened by internal shear stresses acting along the crack. The continuity of stress and displacement is assumed at the common cylindrical surface due to perfect bonding. With reference to the cylindrical coordinates the shear modulus of the inclusion and matrix are assumed to be of the forms G1 eβ|z| and G_2rα eβ|z| where G1, G2, α, and β are real constants and α > — 2. The geometry of the problems is more clearly shown in Fig. 1. The problem is reduced to the solution of a Fredholm integral equation of the second kind, which is solved numerically. A closed form expression is obtained for the stress intensity factor and numerical values for stress intensity factor are graphed to demonstrate the effect of non-homogeneity of the inclusion and infinite medium. Finally the order of the singularity is obtained when the crack approaches the inclusion.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.647
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.260
Teacher spread0.249 · 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.

Study designBench or experimental
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

Citations0
Published2001
Admission routes1
Has abstractyes

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Same venueZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und MechanikSame topicNumerical methods in engineeringFrench-language works237,207