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Record W2030841072 · doi:10.1177/0731684410363184

Use of reinforced rigid polyurethane foam for blast hazard mitigation

2010· article· en· W2030841072 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

VenueJournal of Reinforced Plastics and Composites · 2010
Typearticle
Languageen
FieldEngineering
TopicStructural Response to Dynamic Loads
Canadian institutionsMcMaster University
Fundersnot available
KeywordsExplosive materialMaterials sciencePolyurethaneComposite materialBlast waveDetonationVolume (thermodynamics)Structural engineeringAerospace engineeringShock waveEngineering

Abstract

fetched live from OpenAlex

This article presents the development of a cost-effective lightweight protection technique for explosives transporting container and storage facilities employing surface-mounted Rigid Polyurethane Foam (RPF) plates. Different RPF specimens were prepared with different densities and sand particle reinforcement ratios ranging between 0% (unreinforced) and 30%. Mechanical properties characterization was conducted to optimize an RPF formulation to be tested under blast loading using different experimental techniques. Explosive scaling laws were utilized to relate indoor blast test results (performed with small explosive charges) to real-life blast scenarios. Small RDX explosive charges were placed and detonated inside RPF specimens to correlate the size of the resulting cavity to the explosive charge weight and the RPF density. Another set of experiments were conducted to evaluate the maximum deformation depth of lead witness plates resulting from blast waves. In these latter experiments, explosive charges were mounted on the free surface of RPF plates. In general, test results demonstrated the capability of reinforced RPF as a light weight cost-effective technique to mitigate blast load hazard.

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 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 score0.571
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.008
GPT teacher head0.212
Teacher spread0.204 · 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