An easy way for the generation of structural topologies under random loads using cellular automata
Authors:
- Bogdan Bochenek
Abstract
The topology optimization, is a dynamically developing research area, with numerous applications, to many research and engineering fields and despite the decades of progress, still remains one of the most important research tasks, within the area of structural and material design. The implementation of innovative, efficient and versatile optimization approaches and methods, stimulate this process. Among many research problems, where topology optimization is present, there is generation of topologies for structures under random loads. As reported in the literature, random changes in load magnitude, angle of load application, as well as its position can affect resulting topologies. The idea of the paper is to propose an easy to implement numerical approach, which allows for the prediction of resulting topologies of structures, in the case of load uncertainty. This simple, but effective technique, based on transforming random loads into deterministic problem of multiple loads, is discussed, its numerical implementation based on the idea of Cellular Automata, is described and some examples are presented to illustrate the concept. Based on obtained results, it can be concluded that the approach discussed in the paper can be a useful tool to support the research within structural topology optimization, under random loads.
- Record ID
- CUT11779ffa912741ad823813f607d72f6b
- Publication categories
- ;
- Author
- Journal series
- Acta Polytechnica Hungarica, ISSN 1785-8860, e-ISSN 2064-2687
- Issue year
- 2023
- Vol
- 20
- No
- 1
- Pages
- 9-28
- Other elements of collation
- rys.; Bibliografia (na s.) - 25-28; Bibliografia (liczba pozycji) - 40; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 20, No. 1, Spec. Iss.
- Substantive notes
- Special Issue: Problems in Modern Railways and Optimization in Engineering Structures
- Keywords in English
- structural topology optimization, random loads, cellular automata
- ASJC Classification
- DOI
- DOI:10.12700/APH.20.1.2023.20.2 Opening in a new tab
- URL
- http://acta.uni-obuda.hu/Issue130.htm Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Score source
- journalList
- Score
- Publication indicators
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT11779ffa912741ad823813f607d72f6b/
- URN
urn:pkr-prod:CUT11779ffa912741ad823813f607d72f6b
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.