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Record W2361512529

Applications of a laser displacement gauge in Hopkinson bar experiments

2011· article· en· W2361512529 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

VenueBaozha yu chongji · 2011
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Launch and Propulsion Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSplit-Hopkinson pressure barDisplacement (psychology)Bar (unit)Materials scienceStrain gaugeDynamic loadingFracture (geology)Deformation (meteorology)Solid mechanicsLaserMeasure (data warehouse)Gauge (firearms)PiezoelectricityDynamic testingMechanicsStructural engineeringStrain rateAcousticsOpticsComposite materialPhysicsComputer scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

A laser displacement gauge(LDG) system is proposed.Both the static and dynamic calibrations are carried out,and the results show that the system is effective for dynamic test.As an efficient measuring method,the LDG can be applied in the Hopkinson bar experiment,such as:(1) the LDG can be used to monitor the radial displacement of the specimen,with which the dynamic Poisson's Ratio can be calculated;(2) the LDG can be adopted to measure the crack surface opening displacement of the notch in a dynamic fracture test,and then the dynamic fracture energy can be obtained by associating the signals from the strain gauges mounted on the bars;(3) an innovative Hopkinson bar system for testing ultra-soft materials under intermediate strain rates is developed,where the LDG is employed to monitor the deformation of the sample directly,and two piezoelectric force transducers are sandwiched between the specimen and two bars respectively to measure the weak dynamic loads directly.

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 score0.402
Threshold uncertainty score0.769

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)0.0010.000

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 head0.209
Teacher spread0.200 · 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