Predicting the Effects of Barrier Fabrics on Residential Upholstered Furniture Fire Hazard

Bruns, M.

doi:10.6028/nist.tn.1920

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…(the lower the PHRR, the lower the likelihood of flashover and flame spread occurrence). 60,74 B1 and B6 were the best performing barriers in terms of t BI and PHRR 2 (B6 being the best due to the absence of PHRR 1 and lower initial HRR). Interestingly, both B1 and B6 contain hybrid yarns made of regenerated cellulose and polysilicic acid, which are inherently fire resistant.…”

Section: Impact Of Barriers On Fire Riskmentioning

confidence: 98%

Performance and failure mechanism of fire barriers in full‐scale chair mock‐ups

et al. 2021

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Section: Impact Of Barriers On Fire Riskmentioning

confidence: 98%

Performance and failure mechanism of fire barriers in full‐scale chair mock‐ups

et al. 2021

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“…Notarianni [8] used Monte Carlo methods to characterize and quantify uncertainty in performance-based designs for fire safety. Bruns [9], in a study using Monte Carlo methods to assess the impact of inner liners in residential upholstered furniture, formalized the mathematics for applying the Monte Carlo method to fire hazard analysis as a means to further incorporate the method in regular performance-based designs.…”

Section: Getting Startedmentioning

confidence: 99%

“…As briefly discussed in the introduction significant research has gone into understanding the basic requirements for a Monte Carlo analysis in a fire safety analysis [4,5,6,7,9]. Several key areas that need to be addressed in the analysis include definition of:…”

Section: Defining the Question And The Analysismentioning

confidence: 99%

CFAST - Consolidated Fire and Smoke Transport (Version 7) Volume 5: CFAST Fire Data Generator (CData)

Reneke¹,

Peacock²,

Gilbert³

et al. 2021

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This document provides documentation for creating and running Monte Carlo simulations with the Consolidated Fire And Smoke Transport (CFAST) model using the CFAST Fire Data Generator (CData). The method follows the general framework set forth in the "Standard Guide for Evaluating the Predictive Capability of Deterministic Fire Models," ASTM E 1355 [1]. Instructions for using CFAST are contained in a separate user's guide, and model assessment information is contained in a separate verification and validation guide.

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“…Bruns [20] developed the statistical analysis technique in a mathematically rigorous fashion. The problem being addressed was to predict the impact of different barrier fabrics on the hazards from a fire on the upholstered furniture.…”

Section: Fire Hazard Analysesmentioning

confidence: 99%

“…Bukowski [4] used a three room section of a house to look at the fire hazard of a furniture fire. Bruns [20] also used a three room section of a residence. Ohlemiller and Gann [15] used the same geometry as Bukowski [4] with the addition of a fourth room that represented the rest of the house.…”

Section: Residential Floor Plansmentioning

confidence: 99%

Towards a process to quantify the hazard of fire protection design alternatives

Reneke¹,

Bruns²,

Gilbert³

et al. 2019

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There are a variety of new, improved, and/or innovative fire protection technologies that have the potential to improve fire protection and life safety in residences including barrier fabrics for upholstered furniture, new nano-scaled flame retardants, and better fire detection technology. However, there is no accepted methodology available to determine the absolute or even relative performance of different technologies. The Engineering Laboratory of the National Institute for Standards and Technology (NIST) has undertaken an effort to develop a method to better quantify the relative improvements in fire safety provided by different technologies to evaluate the impact of changes in prescriptive or performance-based requirements. In order to better understand the overall process for the analysis, this report examines the process for quantitative calculation of fire hazard of fire protection design alternatives using as an example case study the potential benefits of alternate requirements for residential smoke alarms. The case study will help define the process, data, and tools necessary for a quantitative analysis of changes in fire protection designs. The long-term goal of the project is to develop a well-defined process and set of tools for such analyses. This report shows the result of the case study as well as a discussion of the procedure itself. Several conclusions are apparent. With the speed of current machines and zone fire models, it is practical to generate tens of thousands of cases to analyze. There is also a need for additional data, including but not limited to fire data, information about the distribution of floor plans and about type and arrangement of the contents. Finally, there needs to be guidance and modeling available to account for the impact of occupants' actions and their interactions with fires. Going forward, research should focus on a two-prong approach. First, tools are needed to make Monte Carlo analysis more efficient. Second, additional opportunities to apply Monte Carlo analysis to real research problems would develop a base of expertise to further the use of this analysis.

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Predicting the Effects of Barrier Fabrics on Residential Upholstered Furniture Fire Hazard

Cited by 5 publications

References 17 publications

Performance and failure mechanism of fire barriers in full‐scale chair mock‐ups

Performance and failure mechanism of fire barriers in full‐scale chair mock‐ups

CFAST - Consolidated Fire and Smoke Transport (Version 7) Volume 5: CFAST Fire Data Generator (CData)

Towards a process to quantify the hazard of fire protection design alternatives

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