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Record W2014990733 · doi:10.5755/j01.mech.17.5.721

BUCKLING ANALYSIS OF COMPOSITE LONG CYLINDERS USING PROBABILISTIC FINITE ELEMENT METHOD

2011· article· en· W2014990733 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

VenueMechanika · 2011
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsUniversity of Regina
FundersChina University of Petroleum, BeijingNational Natural Science Foundation of China
KeywordsBucklingFinite element methodStructural engineeringMaterials scienceComposite numberModulusHydrostatic pressureMonte Carlo methodShear modulusComposite materialEngineeringMechanicsMathematicsPhysics

Abstract

fetched live from OpenAlex

The buckling behaviours of filament-wound carbon fibre-epoxy composite long cylinders subjected to ex-ternal hydrostatic pressure are researched by using deterministic and probabilistic finite element analyses. The critical buckling pressures predicted by deterministic finite element analysis and Monte Carlo simulation and response surface method of ANSYS probabilistic design system are compared with the experimental results. The effects of uncertainties of material properties and physical dimensions on the critical buckling pressure are also researched. The results show that the deterministic and probabilistic finite element analyses predict the similar critical buckling pressures, which are a little higher than the experimental results. The probability of buckling predicted by using response surface method is correct according to the experi-mental buckling pressure. The thickness of composite layers, transversal modulus, inside radius and longitudinal modulus have significant effects on the performance of composite long cylinders, whereas shear modulus, Poisson's ratio, winding angle of outer layers, winding angle of inner layers and unsupported length have small influences.http://dx.doi.org/10.5755/j01.mech.17.5.721

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.487
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.056
GPT teacher head0.284
Teacher spread0.228 · 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