% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@PHDTHESIS{Schrder:838011,
      author       = {Schröder, Benjamin},
      title        = {{M}ultivariate {M}ethods for {L}ife {S}afety {A}nalysis in
                      {C}ase of {F}ire},
      volume       = {34},
      school       = {Bergische Universität Wuppertal},
      type         = {Dr.},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2017-06759},
      isbn         = {978-3-95806-254-2},
      series       = {Schriften des Forschungszentrums Jülich. IAS Series},
      pages        = {222 S.},
      year         = {2017},
      note         = {Bergische Universität Wuppertal, Diss., 2017},
      abstract     = {The assessment of life safety in case of a building re is
                      based on thecomparison of the available safe egress time
                      ($\textit{ASET}$) and the required safe egress time
                      ($\textit{RSET}$). With regards to simulation experiments,
                      this straightforward approach is accompanied by
                      uncertainties including the underlying models, the
                      specification of inputs, and the analysis of outputs.
                      Concerning the two latter aspects, this thesis introduces
                      methodological extensions in order to conduct
                      $\textit{ASET-RSET}$ analyses in a multivariate fashion. For
                      the specification of inputs, the multitude of possible
                      scenarios is represented with the help of systematic
                      sampling techniques. Uncertainties in terms of analysis are
                      tackled with multi-criterial maps rendering both
                      $\textit{ASET}$ and $\textit{RSET}$ in spacious
                      environments. The subtraction of both maps is used to
                      determine a measure of consequences. These methods are
                      applied to a multi-level underground station which is
                      investigated with numerical simulations based on the
                      formation of two subsystems, namely $\textit{Fire}$ and
                      $\textit{Evacuation}$. The analysis incorporates an ensemble
                      of 8,640 combined fire scenarios and evacuation scenarios.
                      Throughout the entire design space, more than 95 \% of the
                      scenario combinations account for less than half of the
                      maximal observed consequences. This analysis is refined by
                      agglomerative clustering in order to group all observations
                      hierarchically. It becomes evident that the lowest margins
                      of consequences are represented by two clusters covering
                      approximately 75 \% of all observations. The investigation
                      of the parametric relations of all clusters allows for the
                      systematic identification of the determining characteristics
                      of fire and evacuation scenarios. In addition to the
                      consequence measure derived from $\textit{ASET-RSET}$,
                      fractional effective doses ($\textit{FED}$) are calculated
                      to supplement the analysis. Within the clusters, the number
                      of occupants exceeding common $\textit{FED}$ thresholds
                      applicable to incapacitation corresponds to the introduced
                      $\textit{ASET-RSET}$ measure. However, throughout the entire
                      design space, this correspondence is not clear and needs
                      further investigation.},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2017081810},
      url          = {https://juser.fz-juelich.de/record/838011},
}