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Record W3181027322

Finite Element Modeling to Determine the Strain Rate Variation for Non-Viscous Deformation of HDPE During the Necking Process

2014· article· en· W3181027322 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

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicTransport Systems and Technology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNeckingDeformation (meteorology)Materials scienceStrain rateCreepStress (linguistics)High-density polyethyleneCrossheadStrain (injury)Composite materialFinite element methodStress–strain curveStructural engineeringPolyethylene
DOInot available

Abstract

fetched live from OpenAlex

Deformation for High Density Poly Ethylene (HDPE) and its stress response are measured during the necking process at the crosshead speed of 5 and 100 mm/min. Since necking in HDPE is known to involve a significant amount of creep deformation, the measured strain is generated from non-viscous deformation and creep deformation. It is the former that induces the stress response, not the latter. Therefore, it is important to determine the strain rate for the former to quantify the effect of the strain rate on the stress response. In this study, finite element modeling is used to extract non-viscous strain from the total strain during the necking process of HDPE. The results suggest that the range of strain rate for the non-viscous deformation can be reasonably represented by the strain rate measured experimentally based on the total strain, even though a significant amount of creep deformation occurs during the necking process.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.506
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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