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Record W2144528901 · doi:10.1063/1.3176466

A modified Kolsky bar system for testing ultrasoft materials under intermediate strain rates

2009· article· en· W2144528901 on OpenAlexaff
Rui Chen, Sheng Huang, Kaiwen Xia, F. Lu

Bibliographic record

VenueReview of Scientific Instruments · 2009
Typearticle
Languageen
FieldMaterials Science
TopicHigh-Velocity Impact and Material Behavior
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBar (unit)Materials scienceStrain gaugeDeformation (meteorology)Natural rubberGauge (firearms)Composite materialSplit-Hopkinson pressure barSteel barStrain ratePhysicsMetallurgy

Abstract

fetched live from OpenAlex

A 25 mm aluminum Kolsky bar is modified to test ultrasoft materials under intermediate strain rates (10-100 s(-1)). In this modified system, an ultralong loading pulse (5-50 ms) is generated using an 800 mm steel striker in combination with a pulse shaper made of 2.5 mm thick soft rubber. For such long loading pulses, the traditional data reduction scheme based on strain gauge measurements is not possible. We use a laser gap gauge to measure the deformation of the sample directly and monitor the low amplitude dynamic loading stresses on the sample with a pair of piezoelectric transducers that are embedded in the bars. A commercial foam rubber is tested to demonstrate the feasibility of our modified Kolsky bar system.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.053
GPT teacher head0.322
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations15
Published2009
Admission routes1
Has abstractyes

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