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@PHDTHESIS{Cleven:1022954,
      author       = {Cleven, Raphael},
      othercontributors = {Corves, Burkhard and Stichel, Sebastian},
      title        = {{S}tandardisierte {M}ehrkörpersimulationsszenarien zur
                      {E}rstellung von {L}astannahmen für
                      {S}chienenfahrzeugdrehgestelle},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2025-10389},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2026; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2025},
      abstract     = {The goal of more energy efficiency requires lighter rail
                      vehicles and therefore lighter bogies. These bogies are
                      based on platforms to reduce design time and cost. For the
                      design of these platforms precise and safe design loads are
                      required that represent various operational conditions.
                      Therefore, the goal of this work is to develop a method to
                      determine standardised multi-body simulation scenarios for
                      bogie platforms. For this purpose, so called representative
                      synthetic scenarios are used due to their low simulation
                      effort compared to the simulation of real tracks. The
                      representative synthetic scenarios are created based on
                      operational statistics that represent a real track. The
                      scenarios consist of different horizontal elementary
                      scenarios. In this work, representative synthetic scenarios
                      were created and validated for the rail vehicle in use.
                      Vertical elementary scenarios were integrated into the
                      representative synthetic scenarios to also consider the
                      vertical track layout. The standardised scenarios summarize
                      real tracks. These tracks have not been measured with the
                      same vehicle. The measured motor torques, and braking forces
                      are therefore not automatically applicable to the vehicle in
                      use. Hence, synthetic motor torques, and brake forces were
                      created for the vehicle in use. The standardised scenarios
                      are designed to approximate target loads that were
                      previously defined based on various real tracks. To build
                      these scenarios, initial standardised scenarios were
                      created, simulated and compared with the target loads. If
                      the target loads could not be achieved, the operational
                      statistics were changed iteratively based on a sensitivity
                      analysis until the target loads were approximated with
                      sufficient accuracy. The sensitivity analysis ensured that
                      the statistics could be modified with fewer iterations.
                      Precise and safe design loads for rail vehicle bogie
                      platforms can be generated using the developed standardised
                      scenario generation method. This allows the bogie platforms
                      to be designed for a wide range of operational conditions,
                      while enabling a lightweight and energy efficient bogie
                      design.},
      cin          = {411910},
      ddc          = {620},
      cid          = {$I:(DE-82)411910_20180101$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2025-10389},
      url          = {https://publications.rwth-aachen.de/record/1022954},
}