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Record W2331501729 · doi:10.2140/jomms.2016.11.3

Stress and displacement analysis of an auxetic quarter-plane under a concentrated force

2016· article· en· W2331501729 on OpenAlexaboutno aff
Paweł Fritzkowski, Henryk Kamiński

Bibliographic record

VenueJournal of mechanics of materials and structures · 2016
Typearticle
Languageen
FieldEngineering
TopicCellular and Composite Structures
Canadian institutionsnot available
Fundersnot available
KeywordsAuxeticsDisplacement (psychology)Materials scienceQuarter (Canadian coin)Stress (linguistics)Plane (geometry)Structural engineeringComposite materialGeometryEngineeringMathematicsPsychologyGeography

Abstract

fetched live from OpenAlex

The problem of a quarter-space under distributed normal and shear loads is considered.A mathematical model is formulated for the plane strain state.Theoretical background of the Mellin integral transform and calculation of residues is outlined.An analytical procedure involving the Mellin transform is presented for the general reduced problem of a quarter-plane.Numerical computation of residues allows for evaluation of the inverse transforms for the displacements and stresses.Simulation results are obtained for a special load case: a concentrated force.The deformation of the loaded boundary is analyzed for various values of Poisson's ratio.It turns out that auxetics exhibit locally negative stiffness, which leads to an anomalous behavior of the system.A simple explanation of the unusual deformation mechanism is proposed.The semianalytical solutions are compared with the results obtained by means of the finite element method.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2016
Admission routes1
Has abstractyes

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