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Record W2360876123

EXPERIMENTAL AND THEORETICAL INVESTIGATIONS ON THE VELOCITY OSCILLATIONS OF DYNAMIC CRACK PROPAGATING IN BRITTLE MATERIAL TENSION

2013· article· en· W2360876123 on OpenAlexaff
Moe Key

Bibliographic record

VenueChinese Journal of Theoretical and Applied Mechanics · 2013
Typearticle
Languageen
FieldEngineering
TopicUltrasonics and Acoustic Wave Propagation
Canadian institutionsImpact
Fundersnot available
KeywordsFracture mechanicsBrittlenessMaterials scienceMechanicsCrack closureCrack growth resistance curveOscillation (cell signaling)Crack tip opening displacementAccelerationTension (geology)Composite materialClassical mechanicsPhysicsCompression (physics)Chemistry
DOInot available

Abstract

fetched live from OpenAlex

To study the propagating behavior of a dynamic crack in brittle material, an experimental technique was developed to measure the propagation of a fast crack in a preloaded brittle polymethylmethacrylate(PMMA) strip. The experimental results show that for each preloaded strip, the crack arrives at a steady velocity v0after a short acceleration stage, when the crack propagation is self-similar. The steady propagation velocity was found to be an increasing function of the energy Gc stored in the preloaded strip, which means that the material has a speed toughening property. When the crack exceeds a threshold, the crack exhibits apparent oscillations. This crack oscillation corresponds to the microscopic periodic grooves on the fractured surface. Further increase of the pre-stored elastic energy results in the curving, micro-branching, and full bifurcations of the cracks. Based on the energy conservation theory, a dynamic model is established to describe the motion of the crack. This motion equation is used to explain the crack oscillations during propagations.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.199
Teacher spread0.195 · 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 designTheoretical or conceptual
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

Citations1
Published2013
Admission routes1
Has abstractyes

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