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Record W1489870890 · doi:10.4271/2004-01-3551

Potential Driver Exposure to Halons and Alternative Agents from On Board Fire Suppression Systems in Stock Cars

2004· article· en· W1489870890 on OpenAlexaboutno aff
Jeremy Scharfenberg, Colm Kenny

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2004
Typearticle
Languageen
FieldEngineering
TopicFire Detection and Safety Systems
Canadian institutionsnot available
Fundersnot available
KeywordsStock (firearms)On boardComputer scienceAutomotive engineeringEngineeringAerospace engineeringMechanical engineering

Abstract

fetched live from OpenAlex

This paper presents a review of the regulatory, environmental, and health issues surrounding the use of halons as a fire suppressant and a summary of the recently completed Racecar Fire Suppressant Exposure Study by ICF Consulting, Inc., under contract with the U.S. Environmental Protection Agency (EPA) (U.S. EPA, 2004a). In 2003 the EPA learned that the SFI Foundation Inc., the organization responsible for developing safety regulations and testing requirements for numerous Performance Racing Industry (PRI) sanctioning bodies, was revising its Quality Assurance Specification for On Board Fire Suppression Systems (SFI Specification 17.1). The previous Specification 17.1 required either halon 1211 or halon 1301 to be used in these systems. Halons are ozone-depleting substances (ODS) widely used in fire protection applications and whose production and use are controlled under the Montreal Protocol and the Clean Air Act (CAA). Emissions of halons lead to destruction of the earth's protective stratospheric ozone layer. Because halons are the most potent ozone depletors of the controlled ODS, the production and import of virgin halons1 was banned in the U.S. beginning in 1994. Since then, EPA has worked with industry and other affected organizations to develop, evaluate, and support adoption of alternatives to halons through EPA's Significant New Alternatives Policy (SNAP) program. Alternatives to halons are now available and used in many new applications that formerly depended on halons. With the availability of approved alternatives, EPA was concerned that the draft of the new SFI specification still allowed for the use of halons 1211 and 1301 and that the potential risk to the driver from exposure during a discharge directly into the driver's compartment had not been fully considered. To address these concerns, EPA prepared a scoping analysis of possible fire suppressant agent concentrations that could be reached in a typical stock car due to the release under various scenarios. The study was not meant to determine acceptable quantities of an agent to be used, but to serve as an example of the type of analysis EPA believes should be considered to minimize driver exposure to potentially high concentrations of the agent. The stock car scenario was modeled after what EPA understood to be reasonable race car metrics for the National Association for Stock Car Auto Racing (NASCAR) circuits and the agents included halons 1211 and 1301 as well as SNAP approved alternatives. This application was chosen because of the similarity in the dimensions of the driver's compartments of the stock car and truck body models to those of many other sanctioning bodies. From our model, the results of the study indicated that an “as designed” release of 5 lbs. of halon 1211 or 1301 into the driver's compartment could potentially create concentrations that would kill the driver. For the alternatives, at least one agent could reach the necessary concentration for fire extinguishment within the driver compartment while not posing a risk to the driver in both the car and truck body types. In the event of a catastrophic release of all agent from the system into the driver compartment, every agent reviewed would produce a potentially lethal concentration for the driver under the conditions modeled. The finished analysis was reviewed by experts at the National Institute of Standards and Technology (NIST), Delphi Corporation, DuPont, 3M, and American Pacific, and their comments and the authors' responses are summarized in Appendix A. The results of this research have been presented to SFI as well as sanctioning bodies that use SFI's safety specifications. The goal is to promote the safe application of fire suppression agents, and the use of effective alternatives to halons 1211 and 1301.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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 designObservational
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
Published2004
Admission routes1
Has abstractyes

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