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Record W2374904283

A CRITICAL REVIEW OF SPLIT HOPKINSON PRESSURE BAR TECHNIQUE

2009· review· en· W2374904283 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

VenueLixue jinzhan · 2009
Typereview
Languageen
FieldEngineering
TopicElectromagnetic Launch and Propulsion Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSplit-Hopkinson pressure barBar (unit)Materials sciencePulse shapingPulse (music)Mechanical engineeringStructural engineeringOpticsStrain rateComposite materialLaserEngineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

The split Hopkinson pressure bar(SHPB) experimental technique is the most common method to evaluate the dynamic mechanical properties in the range of strain rates from 10~2s~(-1) to 10~4s~(-1).The state-of-the-art methods in Hopkinson bar experiments are summarized after a detailed discussion of the three classic papers by Hopkinson,Davies,and Kolsky.Advancements of the Hopkinson bar experimental methods are discussed, including fundamental theories,loading techniques and improvements in measurements.Fundamentals of the Hopkinson bar experimental procedure are outlined,including specimen design,friction effect and pulse shaping. The loading techniques consist of pulse shaping,single-pulse loading and controlled multi-pulse loading.The quartz-crystal system,the laser system and the infrared system represent recent improvements in the SHPB experimental technique.This paper provides necessary information for conducting a Hopkinson bar experiment and analyzing the experimental data.It is essential to standardize the SHPB technique and apply it to even larger range of materials in the future.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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