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@PHDTHESIS{Hehnen:1050014,
      author       = {Hehnen, Tristan},
      title        = {{S}imulation of {F}ire {P}ropagation, {B}ased on {M}aterial
                      {P}yrolysis},
      volume       = {75},
      school       = {Wuppertal},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2025-05728},
      isbn         = {978-3-95806-875-9},
      series       = {Schriften des Forschungszentrums Jülich IAS Series},
      pages        = {VIII, 25, xcii},
      year         = {2025},
      note         = {Dissertation, Wuppertal, 2025},
      abstract     = {Uncontrolled fires in buildings pose significant threats to
                      occupants, the environment, property, and the continuity of
                      operations. Fire risk assessments are critical tools used to
                      identify hazards, determine the likelihood of their
                      occurrence, assess potential consequences, and propose
                      mitigation measures. Several methods exist for quantitative
                      analysis, ranging from simple hand calculations to advanced
                      computational fluid dynamics (CFD) simulations. Typically,
                      heat release rates are prescribed in these assessments and
                      are static. Primarily because the modelling of thermal
                      decomposition (pyrolysis) of combustible materials is
                      difficult. This dissertation consists of three publications
                      that deal with the design of parameter sets that allow the
                      simulation of pyrolysis, based on the heat feedback to a
                      sample material. From common small-scale fire experiments,
                      data are used to create the material models. The first
                      publication deals with the simulation of fire propagation in
                      cable tray installations. A proof of concept for a
                      methodology is presented in which material parameters can be
                      determined in an inverse modelling process (IMP). This IMP
                      uses experimental data as the target. The second publication
                      builds on the work of the first publication and improves it.
                      Several adjustments needed to be made in the previous work
                      after the IMP concluded to enable fire propagation. These
                      adjustments are here directly implemented in the IMP.
                      Further improvements are implemented to the process, such as
                      higher fluid cell resolution during the parameter estimation
                      process. The third publication moves away from the complex
                      structure of electrical cables and focuses on a pure
                      polymer: poly (methyl methacrylate) (PMMA). Further
                      improvements are conducted with even higher fluid cell
                      resolution. Furthermore, a wider range of experimental data
                      sets is available, which is used to improve the parameter
                      estimation.},
      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)3 / PUB:(DE-HGF)11},
      doi          = {10.34734/FZJ-2025-05728},
      url          = {https://juser.fz-juelich.de/record/1050014},
}