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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},
}