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@PHDTHESIS{Bigelow:740215,
      author       = {Bigelow, Hetty},
      othercontributors = {Hoffmeister, Benno and Feldmann, Markus and de Roeck,
                          Guido},
      title        = {{V}ereinfachte dynamische {B}emessung von
                      {W}i{B}-{E}isenbahnverbundbrücken für den
                      {H}ochgeschwindigkeitsverkehr},
      volume       = {82},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {Shaker},
      reportid     = {RWTH-2018-228482},
      isbn         = {978-3-8440-6258-8},
      series       = {Schriftenreihe Stahlbau - RWTH Aachen},
      pages        = {1 Online-Ressource (iii, 186, XXXVI Seiten) :
                      Illustrationen, Diagramme},
      year         = {2018},
      note         = {Druckausgabe: 2018. - Auch veröffentlicht auf dem
                      Publikationsserver der RWTH Aachen University 2019;
                      Dissertation, RWTH Aachen University, 2018},
      abstract     = {Filler beam railway bridges have many advantages. They are
                      durable, can feature high slenderness and require only a
                      small amount of framework material during construction. They
                      are usually constructed as simply supported beams, i.e.
                      their high slenderness can also be in some respects
                      disadvantageous. Calculated eigenfrequenciesare often
                      relatively small, thus leading to anticipation of resonance
                      effects already at low crossing velocities induced by
                      equally spaced axle loads. Measurements have repeatedly
                      shown though, that filler beam bridges behave much better in
                      reality than predicted by calculations. The anticipated
                      resonance effects occur eventually at much higher crossing
                      velocities than predicted. The sometimes significantly high
                      differences between measurements and calculations have been
                      generally noticed before and are affiliated with additional
                      contributions of non-structural elements to system stiffness
                      and damping, e.g. the contributions of ballast, tracks,
                      sleepers or edge caps. The thesis at hand presents a
                      detailed examination of the contributions of individual
                      parameters influencing the dynamic behavior of filler beam
                      bridges. The examination aims at separating parameters,
                      which can be clearly identified and isolated from other
                      effects and thus could be considered in design, from those
                      parameters, that require further extensive research.
                      Experimental tests regarding interaction effects between
                      bridge decks, which are separated by longitudinal gaps but
                      share a ballast bed, are performed with a newly developed
                      test set up. This set up eliminates effects, which occur
                      simultaneously with the interaction effects on real bridges.
                      The contribution of the interaction effects to stiffness and
                      damping are tested. Based on German codes, modelling
                      simplifications are derived. The derivation of a horizontal
                      equivalent spring stiffness, representing restraining
                      effects of railway tracks exceeding bridges, enables a
                      significant reduction of modelling effort and computational
                      time. The equivalent horizontal spring, which is effective
                      in the centroidal axis of the track, is afterwards converted
                      into an equivalent rotationalspring, which can be applied at
                      the hinges of simple beam models, thus simplifying the
                      design of simple span bridges. The developed beam system
                      with rotational springs is then converted into an equivalent
                      single degree of freedom (SDOF) system. With the derived
                      analytical formulas, the fundamental frequency n0 can
                      directly be calculated considering there straining effects
                      of tracks. Users can now include the restraining effects of
                      tracks into a simplified estimation of resonance risks,
                      where n0 is compared to limiting values given by the codes.
                      If resonance can be ruled out and crossing velocities are
                      200 km/h (56 m/s) at most, the dynamic design of single span
                      bridges with spans up to 40 m (thus the scope of application
                      of filler beam bridges) can be performed with equivalent
                      static loads only. If resonance cannot be ruled out using
                      the simplified approach, or, if crossing velocities are
                      above 200 km/h (56 m/s), dynamic simulations have to be
                      performed considering all train types designated for the
                      bridge in question. The results of all simulations then have
                      to be interpreted. In scope of the presented thesis,
                      computation tools using SDOFs are programmed, which enable
                      automated simulations of large numbers of train crossings in
                      a short time, including the restraining effects of tracks.
                      The tool requires only the input parameters bending
                      stiffness, mass, span length, the rotational spring
                      stiffness just derived in this thesis and a damping ratio
                      provided by the codes. This again leads to a significant
                      reduction of modelling effort and computation time compared
                      to conventional calculation software.},
      cin          = {311710},
      ddc          = {624},
      cid          = {$I:(DE-82)311710_20140620$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2018-228482},
      url          = {https://publications.rwth-aachen.de/record/740215},
}