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Record W2789844382 · doi:10.1080/13588265.2018.1433348

An experimental study on the energy absorption characteristics of single- and bi-layer cups under quasi-static loading

2018· article· en· W2789844382 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Crashworthiness · 2018
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceComposite materialExplosive materialLayer (electronics)WeldingAluminiumAdhesiveAbsorption (acoustics)Explosion weldingStructural engineeringChemistryEngineering

Abstract

fetched live from OpenAlex

Experimental testing was conducted to study the mechanical behaviour and energy absorption characteristics of single- and bi-layer cups under axial quasi-static compressive loading. Bi-layer plates were fabricated by explosive welding or joined by adhesive and were formed by a deep drawing process to produce the cup . The tests were performed at a rate of 10 mm/min. The effect of geometric parameters and other apparatus parameters were considered in this study. Results from the experimental tests showed that the layer order of the bi-layer cup significantly influences energy absorption capacities of the cup such that the structures with stainless steel as the outer layer has total absorbed energy and mean crush force 8% and 14% higher, respectively, than those of cups with the aluminium outer layer. Furthermore, it was observed that cups fabricated by explosive welding displayed mean crush force and specific energy absorption 1.5 times greater than those fabricated with adhesive.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.378

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 head0.035
GPT teacher head0.304
Teacher spread0.269 · 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