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Axial Loading Tests and Simplified Modeling of Sandwich Panels with GFRP Skins and Soft Core at Various Slenderness Ratios

2014· article· en· W2006931891 on OpenAlexafffund
Hale Mathieson, Amir Fam

Bibliographic record

VenueJournal of Composites for Construction · 2014
Typearticle
Languageen
FieldEngineering
TopicCellular and Composite Structures
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaTechnion-Israel Institute of Technology
KeywordsBucklingMaterials scienceStructural engineeringComposite materialFibre-reinforced plasticSandwich-structured compositeCore (optical fiber)Shear (geology)ModulusCorrugated fiberboardEngineering

Abstract

fetched live from OpenAlex

Experimental and analytical studies were conducted to investigate the axial strength and failure modes of sandwich panels with glass fiber reinforced polymer (GFRP) skins and soft polyurethane core. A total of 45 specimens of 78×150 mm cross-section and of lengths Le varying from 500 to 2,400 mm [i.e., slenderness ratio (KLe∶r) of 15–70, where r is the radius of gyration] were tested concentrically using pin-ends (K=1). The effects of skin thickness and an internal GFRP rib on axial behavior were studied. The study first assessed the level of out-of-straightness and concluded that all specimens generally fall within an acceptable limit of span/1,000. A model based on sandwich panel theory, accounting for excessive shear deformations of the soft core, was used to predict axial strength at a wide range of KLe∶r and then used in a parametric study. It was shown that short panels with KLe∶r of 15–17 experienced local failure, outwards skin wrinkling in non-ribbed panels, or skin crushing in ribbed panels. Slender panels with KLe∶r of 41–70 experienced global buckling followed by secondary local failure. Panels with intermediate slenderness (17–41) showed mixed failure modes. The load at which local failure governs at low KLe∶r appears to be a constant, independent of KLer, whereas the global buckling load decreases significantly with increasing KLe∶r. Increasing skin thickness appears to be more effective at high KLe∶r whereas increasing core shear modulus appears to be more effective at low KLe∶r.

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 score0.703
Threshold uncertainty score0.503

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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

Citations20
Published2014
Admission routes2
Has abstractyes

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