Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/20389
Title: Effects of Limiting the Number of Different Cross-Sections Used in Statically Loaded Truss Sizing and Shape Optimization
Authors: Kostic, Nenad
Petrović, Nenad
Vesna, Marjanović
Nikolic, Ruzica
Szmidla, Janusz
Marjanovic, Nenad
Ulewicz, Robert
Issue Date: 2024
Abstract: This research aims to show the effects of adding cardinality constraints to limit the number of different cross-sections used in simultaneous sizing and shape optimization of truss structures. The optimal solutions for sizing and shape optimized trusses result in a generally high, and impractical, number of different cross-sections being used. This paper presents the influence of constraining the number of different cross-sections used on the optimal results to bring the scientific results closer to the applicable results. The savings achieved using the cardinality constraint are expected to manifest in more than just the minimization of weight but in all the other aspects of truss construction, such as labor, assembly time, total weld length, surface area to be treated, transport, logistics, and so on. It is expected that the optimal weight of the structures would be greater than when not using this constraint; however, it would still be below conventionally sized structures and have the added benefits derived from the simplicity and elegance of the solution. The results of standard test examples for each different cardinality constraint value are shown and compared to the same examples using only a single cross-section on all bars and the overall optimal solution, which does not have the cardinality constraint. An additional comparison is made with results of just the sizing optimization from previously published research where authors first used the same cardinality constraint.
URI: https://scidar.kg.ac.rs/handle/123456789/20389
Type: article
DOI: 10.3390/ma17061390
ISSN: 1996-1944
Appears in Collections:Faculty of Engineering, Kragujevac

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