Pyrolysis modeling, sensitivity analysis, ...
Document type :
Article dans une revue scientifique: Article de synthèse/Review paper
DOI :
Permalink :
Title :
Pyrolysis modeling, sensitivity analysis, and optimization techniques for combustible materials: A review
Author(s) :
NYAZIKA, Tatenda [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Jimenez, Maude [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Solarski, Fabienne [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Bourbigot, Serge [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Jimenez, Maude [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Solarski, Fabienne [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Bourbigot, Serge [Auteur]
Unité Matériaux et Transformations - UMR 8207 [UMET]
Journal title :
Journal of Fire Sciences
Abbreviated title :
Journal of Fire Sciences
Volume number :
37
Pages :
377-433
Publisher :
SAGE Publications
Publication date :
2019-07
HAL domain(s) :
Chimie/Matériaux
Chimie/Polymères
Chimie/Polymères
English abstract : [en]
Over the past years, pyrolysis models have moved from thermal models to comprehensive models with great flexibility including multi-step decomposition reactions. However, the downside is the need for a complete set of input ...
Show more >Over the past years, pyrolysis models have moved from thermal models to comprehensive models with great flexibility including multi-step decomposition reactions. However, the downside is the need for a complete set of input data such as the material properties and the parameters related to the decomposition kinetics. Some of the parameters are not directly measurable or are difficult to determine and they carry a certain degree of uncertainty at high temperatures especially for materials that can melt, shrink, or swell. One can obtain input parameters by searching through the literature; however, certain materials may have the same nomenclature but the material properties may vary depending on the manufacturer, thereby inducing uncertainties in the model. Modelers have resorted to the use of optimization techniques such as gradient-based and direct search methods to estimate input parameters from experimental bench-scale data. As an integral part of the model, a sensitivity study allows to identify the role of each input parameter on the outputs. This work presents an overview of pyrolysis modeling, sensitivity analysis, and optimization techniques used to predict the fire behavior of combustible solids when exposed to an external heat flux.Show less >
Show more >Over the past years, pyrolysis models have moved from thermal models to comprehensive models with great flexibility including multi-step decomposition reactions. However, the downside is the need for a complete set of input data such as the material properties and the parameters related to the decomposition kinetics. Some of the parameters are not directly measurable or are difficult to determine and they carry a certain degree of uncertainty at high temperatures especially for materials that can melt, shrink, or swell. One can obtain input parameters by searching through the literature; however, certain materials may have the same nomenclature but the material properties may vary depending on the manufacturer, thereby inducing uncertainties in the model. Modelers have resorted to the use of optimization techniques such as gradient-based and direct search methods to estimate input parameters from experimental bench-scale data. As an integral part of the model, a sensitivity study allows to identify the role of each input parameter on the outputs. This work presents an overview of pyrolysis modeling, sensitivity analysis, and optimization techniques used to predict the fire behavior of combustible solids when exposed to an external heat flux.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Non spécifiée
European Project :
Administrative institution(s) :
Université de Lille
CNRS
INRA
ENSCL
CNRS
INRA
ENSCL
Collections :
Research team(s) :
Ingénierie des Systèmes Polymères
Submission date :
2019-09-16T07:32:04Z
2019-11-12T11:51:09Z
2019-11-12T11:51:09Z
Files
- JFS 2019 - Review_Pyrolysis_Models_(revised)_v2.pdf
- Version finale acceptée pour publication (postprint)
- Open access
- Access the document