% 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{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}, }