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@ARTICLE{Quaresma:1023458,
author = {Quaresma, Tássia L. S. and Hehnen, Tristan and Arnold,
Lukas},
title = {{S}ensitivity analysis for an effective transfer of
estimated material properties from cone calorimeter to
horizontal flame spread simulations},
journal = {Fire safety journal},
volume = {144},
issn = {0378-7761},
address = {New York, NY [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2024-01697},
pages = {104116 -},
year = {2024},
abstract = {Predictive flame spread models based on temperature
dependent pyrolysis rates require numerous material
properties as input parameters. These parameters are often
derived by optimisation and inverse modelling using data
from bench scale experiments such as the Cone Calorimeter.
The estimated parameters are then transferred to flame
spread simulations, where self-sustained propagation is
expected. A fundamental requirement for this transfer is
that the simulation model used in the optimisation is
sufficiently sensitive to the input parameters that are
important to flame spread. Otherwise, the estimated
parameters will have an increased associated uncertainty
that will be transferred to the flame spread simulation.
This is investigated here using a variance-based global
sensitivity analysis method, the Sobol indices. The
sensitivities of a Cone Calorimeter and a horizontal flame
spread simulation to 15 effective properties of polymethyl
methacrylate (PMMA) are compared. Results show significant
differences between the setups: the Cone Calorimeter is
dominated by strong interaction effects between two
temperature dependent specific heat values, whereas the
flame spread is influenced by several parameters.
Furthermore, the importance of some parameters for the Cone
Calorimeter is found to be time-varying, suggesting that
single-value cost functions may not be sufficient to account
for all sensitive parameters during optimisation.},
cin = {IAS-7},
ddc = {690},
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)16},
UT = {WOS:001187945700001},
doi = {10.1016/j.firesaf.2024.104116},
url = {https://juser.fz-juelich.de/record/1023458},
}