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Record W4389540977 · doi:10.17118/11143/20953

High-capacity, idealized energy absorbing mechanisms achieved vialightweight AA6061-T4/PVC foam composite structures

2023· article· en· W4389540977 on OpenAlexafffund
John Magliaro, Foad Rahimidehgolan, William Altenhof, A.T. Alpas

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCellular and Composite Structures
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComposite numberComposite materialMaterials scienceMetal foamAluminium

Abstract

fetched live from OpenAlex

Abstract: There is accelerating demand for energy absorbing structures fabricated from lightweight materials with idealized, near-constant force responses to simultaneously resolve the engineering challenges of vehicle mass reduction and improved occupant safety. A novel compounded energy dissipation system comprised of AA6061-T4 extrusions subjected to hybrid cutting/clamping and compressed H-series PVC foam, which benefited from the steady-state force response of each individual technology, was investigated utilizing quasi-static experiments and finite element modelling. Identical structures were also subjected to axial crushing to compare the newly proposed system to the current state-of-the-art in practical implementation. The cutting/foam crushing system exhibited highly stable collapse mechanisms, aided by the presence of the foam cores, and exceeded the energy absorbing capacity of the traditional crushing mode by approximately 13.4 % while simultaneously eliminating the excessive peak forces and structural instabilities. The simulated deformation profiles were consistent with the experiments and the force responses were predicted with an average error of 12.4 %.

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 categoriesMeta-epidemiology (narrow)
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 score0.115
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 head0.008
GPT teacher head0.187
Teacher spread0.179 · 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.

Study designBench or experimental
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

Citations0
Published2023
Admission routes2
Has abstractyes

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