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@INPROCEEDINGS{Troff:1049975,
author = {Troff, Anna and Osburg, Manuel and Belt, Alexander and
Arnold, Lukas and Hodges, Jonathan},
title = {{S}ensitivity {S}tudy of {I}nput {P}arameters in {M}odeling
{F}lame {S}pread in {B}ench-{S}cale {E}xperiments {U}sing
the {SP}yro {M}odel in {FDS}},
reportid = {FZJ-2025-05689},
pages = {12},
year = {2025},
abstract = {The heat release rate (HRR) of a burning solid material
depends on the interaction of several physical phenomena,
such as the decomposition of the condensed phase, the
exothermic combustion reaction in the gas phase, and the
transfer of heat back to the material surface. While the
fire safety community has made significant progress in
quantifying material and reaction properties in recent
years, it is still the focus of on going research in the
community. As a result, simplified engineering approaches
are often used in performance-based design (PBD) in fire
safety applications. The scaling-based pyrolysis (SPyro)
model is a recently developed engineering model to bridge
the gap between detailed pyrolysis models and engineering
practice. SPyro uses the concept of heat of gasification to
scale a measured bench-scale material response to dynamic
exposure conditions predicted within a computational fluid
dynamics (CFD) model. The model estimates the flame heat
flux occurring in a cone calorimeter experiment to calculate
the reference heat flux for use in scaling. To date, this
heat flux has been estimated based on an empirical
formulation for a cone calorimeter in a horizontal
configuration. However, these results are often applied to
predict material behavior in a vertical configuration, for
example wall linings. In this study, cone calorimeter
experiments were conducted using cast black polymethyl
methacrylate (PMMA) across a range of configurations,
including both horizontal and vertical orientations. The
experimental data were used to calibrate and validate the
SPyro model, enabling cross-prediction between
configurations. Furthermore, the SPyro model was also
applied to simulate fire growth in another benchscale
experiment.},
month = {Jun},
date = {2025-06-30},
organization = {Interflam, Egham (UK), 30 Jun 2025 - 2
Jul 2025},
cin = {IAS-7},
cid = {I:(DE-Juel1)IAS-7-20180321},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5111},
typ = {PUB:(DE-HGF)8},
doi = {10.34734/FZJ-2025-05689},
url = {https://juser.fz-juelich.de/record/1049975},
}