Pyrolysis modeling, sensitivity analysis, ...
Type de document :
Article dans une revue scientifique: Article de synthèse/Review paper
DOI :
URL permanente :
Titre :
Pyrolysis modeling, sensitivity analysis, and optimization techniques for combustible materials: A review
Auteur(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]
Titre de la revue :
Journal of Fire Sciences
Nom court de la revue :
Journal of Fire Sciences
Numéro :
37
Pagination :
377-433
Éditeur :
SAGE Publications
Date de publication :
2019-07
Discipline(s) HAL :
Chimie/Matériaux
Chimie/Polymères
Chimie/Polymères
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Non spécifiée
Projet Européen :
Établissement(s) :
Université de Lille
CNRS
INRA
ENSCL
CNRS
INRA
ENSCL
Collections :
Équipe(s) de recherche :
Ingénierie des Systèmes Polymères
Date de dépôt :
2019-09-16T07:32:04Z
2019-11-12T11:51:09Z
2019-11-12T11:51:09Z
Fichiers
- JFS 2019 - Review_Pyrolysis_Models_(revised)_v2.pdf
- Version finale acceptée pour publication (postprint)
- Accès libre
- Accéder au document