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Record W1970108300 · doi:10.1177/0954409710397097

A comparison of New European fire standards with UK standards and the impact on UK vehicle design

2011· article· en· W1970108300 on OpenAlexaff
D Tooley

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit · 2011
Typearticle
Languageen
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsBombardier (Canada)
Fundersnot available
KeywordsInteroperabilityEngineeringTransport engineeringWork (physics)DemolitionFire safetyFire protectionSafety standardsFire testSystems engineeringComputer scienceCivil engineeringReliability engineering

Abstract

fetched live from OpenAlex

The Rail Industry will soon be entering a new phase of rail vehicle design for fire safety as a result of the introduction of new European standards (EN) and requirements in technical specification for interoperability (TSI), which will replace national standards, such as British standards (BS) and Railway Standards and Safety Board group standards. The new standards and specifications are prEN45545, fire protection on railway vehicles, prEN50553, requirements for running capability in case of fire on board rolling stock, safety in railway tunnels TSI, high-speed rolling stock TSI, and conventional rail TSI. The standard and specification changes have a big potential impact in fire safety management of vehicles in the United Kingdom. This article describes changes identified to date, examines their impact on passenger vehicle design and validation requirements, and identifies further work requirements by: (a) giving an overview of current fire safety requirements; (b) describing in some detail the fire safety requirements described in the new standards, including categorization, materials fire performance test methods and requirements, fire resistance requirements, design requirements, fire detection and suppression requirements, requirements for transport of flammable liquids, and requirements for running capability in the event of a fire; (c) discussion on changes in approach which are required as a result of working to the new standards, and changes in vehicle design that may be necessary; (d) work still in progress required to allow close out of current issues. The article concludes that since materials fire performance requirements have not yet been fully investigated, no comment can be yet made concerning whether the performance of trains based on new standards is expected to be equivalent to trains built to current fire safety standards.

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)0.017
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.025
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.024
GPT teacher head0.255
Teacher spread0.231 · 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 designNot applicable
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

Citations2
Published2011
Admission routes1
Has abstractyes

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