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Record W2361512529

Applications of a laser displacement gauge in Hopkinson bar experiments

2011· article· en· W2361512529 on OpenAlexaff
Xia Kaiwen

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.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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

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

Citations0
Published2011
Admission routes1
Has abstractyes

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