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Record W2087870941 · doi:10.1115/imece2009-12440

Three-Point Bending Testing of Sandwich Beams and Finite Element Comparison

2009· article· en· W2087870941 on OpenAlexaff
Henri Champliaud, Zhengkun Feng, H.E.N. Bersee

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCellular and Composite Structures
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsFinite element methodStructural engineeringBeam (structure)BendingMaterials scienceTurbine bladeTorsion (gastropod)Core (optical fiber)Composite materialDeflection (physics)Three point flexural testEpoxyTurbineEngineeringMechanical engineeringOpticsPhysics

Abstract

fetched live from OpenAlex

The results of 3-point bending tests applied on 4 different types of composite beam structure and their comparison with Finite Element Modeling (FEM) are presented. Three different layups have been applied on rectangular and hexagonal foam cross sections. Experiments are realized and compared with FEM results in order to create a more confident design of an adaptive wind turbine blade that will be built using a foam core and a fiber glass/epoxy skin. Even if torsion loads and centrifugal loads are present on wind turbine blade during operation, the major loads are due to bending moments, so emphasis is put on 3-point bending tests of sandwich like composite beams. Tests and FEM show that the sandwich beam behavior is closely related to the skin and foam thicknesses.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.316

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 head0.013
GPT teacher head0.222
Teacher spread0.209 · 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.

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

Citations2
Published2009
Admission routes1
Has abstractyes

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