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Pyrolysis Model Development for a Multilayer Floor Covering

Comprehensive pyrolysis models that are integral to computational fire codes have improved significantly over the past decade as the demand for improved predictive capabilities has increased. High fidelity pyrolysis models may improve the design of engineered materials for better fire response, the...

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Detalles Bibliográficos
Autores principales: McKinnon, Mark B., Stoliarov, Stanislav I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512902/
https://www.ncbi.nlm.nih.gov/pubmed/28793556
http://dx.doi.org/10.3390/ma8095295
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author McKinnon, Mark B.
Stoliarov, Stanislav I.
author_facet McKinnon, Mark B.
Stoliarov, Stanislav I.
author_sort McKinnon, Mark B.
collection PubMed
description Comprehensive pyrolysis models that are integral to computational fire codes have improved significantly over the past decade as the demand for improved predictive capabilities has increased. High fidelity pyrolysis models may improve the design of engineered materials for better fire response, the design of the built environment, and may be used in forensic investigations of fire events. A major limitation to widespread use of comprehensive pyrolysis models is the large number of parameters required to fully define a material and the lack of effective methodologies for measurement of these parameters, especially for complex materials. The work presented here details a methodology used to characterize the pyrolysis of a low-pile carpet tile, an engineered composite material that is common in commercial and institutional occupancies. The studied material includes three distinct layers of varying composition and physical structure. The methodology utilized a comprehensive pyrolysis model (ThermaKin) to conduct inverse analyses on data collected through several experimental techniques. Each layer of the composite was individually parameterized to identify its contribution to the overall response of the composite. The set of properties measured to define the carpet composite were validated against mass loss rate curves collected at conditions outside the range of calibration conditions to demonstrate the predictive capabilities of the model. The mean error between the predicted curve and the mean experimental mass loss rate curve was calculated as approximately 20% on average for heat fluxes ranging from 30 to 70 kW·m(−2), which is within the mean experimental uncertainty.
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spelling pubmed-55129022017-07-28 Pyrolysis Model Development for a Multilayer Floor Covering McKinnon, Mark B. Stoliarov, Stanislav I. Materials (Basel) Article Comprehensive pyrolysis models that are integral to computational fire codes have improved significantly over the past decade as the demand for improved predictive capabilities has increased. High fidelity pyrolysis models may improve the design of engineered materials for better fire response, the design of the built environment, and may be used in forensic investigations of fire events. A major limitation to widespread use of comprehensive pyrolysis models is the large number of parameters required to fully define a material and the lack of effective methodologies for measurement of these parameters, especially for complex materials. The work presented here details a methodology used to characterize the pyrolysis of a low-pile carpet tile, an engineered composite material that is common in commercial and institutional occupancies. The studied material includes three distinct layers of varying composition and physical structure. The methodology utilized a comprehensive pyrolysis model (ThermaKin) to conduct inverse analyses on data collected through several experimental techniques. Each layer of the composite was individually parameterized to identify its contribution to the overall response of the composite. The set of properties measured to define the carpet composite were validated against mass loss rate curves collected at conditions outside the range of calibration conditions to demonstrate the predictive capabilities of the model. The mean error between the predicted curve and the mean experimental mass loss rate curve was calculated as approximately 20% on average for heat fluxes ranging from 30 to 70 kW·m(−2), which is within the mean experimental uncertainty. MDPI 2015-09-14 /pmc/articles/PMC5512902/ /pubmed/28793556 http://dx.doi.org/10.3390/ma8095295 Text en © 2015 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
McKinnon, Mark B.
Stoliarov, Stanislav I.
Pyrolysis Model Development for a Multilayer Floor Covering
title Pyrolysis Model Development for a Multilayer Floor Covering
title_full Pyrolysis Model Development for a Multilayer Floor Covering
title_fullStr Pyrolysis Model Development for a Multilayer Floor Covering
title_full_unstemmed Pyrolysis Model Development for a Multilayer Floor Covering
title_short Pyrolysis Model Development for a Multilayer Floor Covering
title_sort pyrolysis model development for a multilayer floor covering
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512902/
https://www.ncbi.nlm.nih.gov/pubmed/28793556
http://dx.doi.org/10.3390/ma8095295
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