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Record W1035687017 · doi:10.1520/stp14436s

Testing the Cut and Puncture Resistance of Firefighter Safety Shoes

2000· book-chapter· en· W1035687017 on OpenAlexaffabout
S. Massé, Renaud Daigle, D Turcot

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsInstitut de recherche Robert-Sauvé en santé et en sécurité du travail
Fundersnot available
KeywordsResistance (ecology)Computer scienceBiology

Abstract

fetched live from OpenAlex

ISO (International Organization for Standardization) standard 13997 “Protective Clothing — Mechanical Properties — Determination of Resistance to Cutting by Sharp Objects” is intended to be used to evaluate the cut resistance of any kind of nonmetallic material used in protective devices, gloves, safety shoes, sleeves, etc. However, the mandrel used for performing a cut test that was developed to hold glove materials is not well adapted for holding the firefighter safety boot samples, which are in most cases thick (e.g., 10 mm thick) and nonuniform in thickness. Furthermore, with some safety shoe materials, a very high coefficient of friction develops when the blade slides and penetrates the material. A new mandrel was developed and a test procedure that differs from the ones in the ISO test method is proposed for evaluating the cut resistance of firefighter safety shoes. It consists of fixing the material firmly in a specially designed mandrel to prevent the material from sliding. The test is performed with two different loads instead of the three loads proposed in ISO 13997. For puncture resistance, preliminary tests were performed with two different probes: the one proposed in ASTM F 1342 “Standard Test Method for Protective Clothing Material. Resistance to Puncture”, which consists of a 2-mm diameter rod with a conical extremity; the other puncture probe is a 1-mm diameter rod with a hemispheric extremity of 0.5 mm radius. It was demonstrated that the ASTM probe is difficult to produce and that the results obtained by testing it on a neoprene reference material give poor reproducibility. On the other hand, the hemispheric probe is easy to produce and the results are reproducible. The hemispheric point was chosen for the puncture tests. Cutting and puncture tests were performed on ten firefighter safety shoes most commonly used in the United States and in Canada. Results demonstrated that safety shoes having good cut resistance do not necessarily have good puncture resistance. Other information from this study could be useful for safety shoe manufacturers and users and for standardization on order to establish the minimal level of performance.

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)0.001
metaresearch head score (Gemma)0.002
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
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.242
Teacher spread0.207 · 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

Citations0
Published2000
Admission routes2
Has abstractyes

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