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Record W2030858007 · doi:10.1520/jte20140055

Experimental Research of Crack Propagation in Polymethyl Methacrylate Material Containing Flaws Under Explosive Stress Waves

2014· article· en· W2030858007 on OpenAlexaff
Xue Hua-jun

Bibliographic record

VenueJournal of Testing and Evaluation · 2014
Typearticle
Languageen
FieldEngineering
TopicStructural Response to Dynamic Loads
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsPolymethyl methacrylateExplosive materialMaterials scienceComposite materialStress waveStress (linguistics)Forensic engineeringPolymerEngineeringChemistry

Abstract

fetched live from OpenAlex

Abstract The crack propagation behavior of the material polymethyl methacrylate with flaws under the effects of explosive stress waves were studied using a digital laser dynamic caustics method. Four different kinds of experimental conditions were set: open joints, closed joints, confined pressure around the specimen, and double boreholes. A digital high-speed camera was utilized to record a series of dynamic caustics spots at the tip of the propagation wing cracks. The cracks' paths and the dynamic stress intensity factor (DSIF) at the tip of the two wing cracks are evaluated. Crack patterns, variation of DSIF, and the mechanisms of the wing cracking process are analyzed and discussed. The results provided an effective experimental basis for evaluating and designing directional controlled blasting for excavating rock faces and tunnels.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.111
GPT teacher head0.383
Teacher spread0.272 · 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

Citations25
Published2014
Admission routes1
Has abstractyes

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