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Pressure measurement of circumferentially confined gelatin under shock wave

2024· article· en· W4405848896 on OpenAlexaff
Manman Xiong, Li-wang Zang, Cheng Xu, X J

Bibliographic record

VenueJournal of Physics Conference Series · 2024
Typearticle
Languageen
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsImpact
Fundersnot available
KeywordsGelatinShock waveShock (circulatory)Materials scienceMechanicsAcousticsOpticsPhysicsChemistryMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract To investigate the pressure response characteristics of head physical surrogate under different sensor arrangement methods, the experimental study on the pressure measurement inside circumferent confined gelatin under the shock waves was conducted. A setup of one-dimensional pressure wave flatbed was constructed, consisting a pneumatic launcher, PVC pipe, and water. The pressure wave of three sensor arrangement methods were compared. The result shows that the three sensor arrangement methods have minimal influence on pressure testing results inside circumferentially constrained gelatin. When the sensitive surface flush with the inner wall (A1) is chosen as a baseline, the peak pressure and impulse differ by less than 3.44% and 5.14% in sensor arrangement method with sensitive surface flush with the pipe center (A2), and by less than 6.75% and 5.83% in sensor arrangement method with sensitive surface into a conical platform flush with the center of the pipe (A3). Smooth and reliable one-dimensional pressure waves can be obtained by the pressure testing method. The one-dimensional pressure wave obtained using this method can effectively be used to study the damage mechanisms of shock waves on the brain and air-containing organs.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.052
GPT teacher head0.274
Teacher spread0.222 · 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 teacher head, 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
Published2024
Admission routes1
Has abstractyes

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