MétaCan
Menu
Back to cohort
Record W2790620042 · doi:10.2495/safe170421

NEAR FIELD EFFECTS OF SMALL SCALE WATER BLEVE

2017· article· en· W2790620042 on OpenAlexaff
Roland Eyssette, Frédéric Heymes, James Crawford, A. M. Birk

Bibliographic record

VenueWIT transactions on the built environment · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Response to Dynamic Loads
Canadian institutionsQueen's University
Fundersnot available
KeywordsScale (ratio)Environmental scienceField (mathematics)Scale effectsPhysics

Abstract

fetched live from OpenAlex

This paper presents preliminary results collected with a new experimental apparatus developed to collect close-in overpressure data from small scale water BLEVE.The apparatus consists of a sealed aluminium tube pressurized and heated up until rupture, representing a realistic pressure vessel failure.Various types of failure were obtained, from partial opening to catastrophic failure, giving detailed data on the blast overpressure, the load generated by the failure on the ground, and the transient pressure in the vessel.High speed imaging of the failure gives new insight to the close-in conditions of the explosive release.A CFD modelling work aimed to investigate the ability of CFD to model the blast pressure peaks from a pressurized vapour space.A shock tube configuration was selected, and a series of experiments were performed to provide experimental data.A very good agreement was observed which validates a first step in BLEVE simulation by CFD.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.182
Teacher spread0.175 · 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 designSimulation or modeling
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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueWIT transactions on the built environmentSame topicStructural Response to Dynamic LoadsFrench-language works237,207