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@PHDTHESIS{Meinert:986937,
      author       = {Meinert, Tobias},
      othercontributors = {Schröder, Kai-Uwe and Mittelstedt, Christian},
      title        = {{O}ptimierung allgemein belasteter dünnwandiger {P}rofile},
      volume       = {2024,3},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Düren},
      publisher    = {Shaker Verlag},
      reportid     = {RWTH-2024-05491},
      isbn         = {978-3-8440-9508-1},
      series       = {Aachener Berichte aus dem Leichtbau},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2024},
      note         = {Druckausgabe: 2024. - Auch veröffentlicht auf dem
                      Publikationsserver der RWTH Aachen University; Dissertation,
                      RWTH Aachen University, 2024},
      abstract     = {Structural-mechanical components are usually designed via
                      iterative development processes. Initial estimates of
                      material, dimensions, and topology are provided in a
                      preliminary design, followed by iterative adaptations
                      leading to the final product. Unfortunately, due to a lack
                      of apriori information, the preliminary phases often rely on
                      inaccurately idealized geometries and loads, resulting in
                      poor estimations. A weight-optimized preliminary design has
                      the potential to eliminate several iteration steps, reducing
                      costs, resources, and design time. Achieving an efficiently
                      optimal design in the preliminary phase requires a deeper
                      understanding of correlations between idealized geometry and
                      acting loads. To address this issue, this work formulates
                      and verifies two hypotheses. The first posits that general
                      load scenarios can be simplified into basic load cases,
                      while the second suggests that optimally designed basic
                      geometries offer insights into the final complex shape.
                      Verification of these hypotheses is accomplished by making
                      use of a purposefully developed optimization algorithm based
                      on the structural index, allowing a problem generalization.
                      The algorithm employs a metaheuristic approach with an
                      evolutionary strategy, capable of handling diverse
                      geometries and load conditions. The optimization process
                      includes square profiles for basic and combined load cases,
                      as well as more intricate shapes like polygonal profiles.
                      While the results support both hypotheses, certain
                      restrictions are identified. For the first hypothesis, it is
                      demonstrated that compressive loads in combination with
                      either bending or torsional loads can be neglected, as long
                      as the structural index of the compressive load does not
                      exceed the structural index of the other load. In cases of
                      combined bending and torsional loads, the lower load can be
                      ignored if the ratio of structural indices does not exceed
                      1/10. The second hypothesis is verified with limitations.
                      Meaningful results are obtained for compressive and
                      torsional loads, specifically when the final component
                      should have a rectangular shape. In this scenario, the
                      weight-optimized square profile proves to be the optimal
                      solution. However, for more complex shapes, the circular
                      ring consistently emerges as the weight-optimal solution.
                      Analytical weight-optimised correlations are specified for
                      this. In the case of bending loads, no correlations can be
                      identified between the optimum complex profile shapes and
                      the weight-optimised square profile. For other complex
                      profiles that are subject to additional design restrictions
                      the weight-optimised profiles at least indicate how much
                      mass can be saved by further optimising these complex
                      profiles.},
      cin          = {415610},
      ddc          = {620},
      cid          = {$I:(DE-82)415610_20160301$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2024-05491},
      url          = {https://publications.rwth-aachen.de/record/986937},
}