Cellular automaton mimicking colliding bodies for topology optimization
Authors:
- Bogdan Bochenek,
- Katarzyna Tajs-Zielińska
Abstract
Needs and demands of contemporary engineering stimulate continuous and intensive development of design methods. Topology optimization is a modern approach which has been successfully implemented in a daily engineering design practice. Decades of progress resulted in numerous applications of topology optimization to many research and engineering fields. Since the design process starts already at the conceptual stage, innovative, efficient, and versatile topology algorithms play a crucial role. In the present study, the concept of the original heuristic topology generator is proposed. The main idea that stands behind this proposal is to take advantage of the colliding bodies phenomenon and to use the governing laws to derive original Cellular Automata rules which can efficiently perform the process of optimal topologies generation. The derived algorithm has been successfully combined with ANSYS, a commercial finite element software package, to illustrate its versatility and to make a step toward engineering applications. Based on the results of the tests performed, it can be concluded that the proposed concept of the automaton mimicking colliding bodies may be an alternative algorithm to other existing topology generators oriented toward engineering applications.
- Record ID
- CUTbc3830463a774d78bfec8f921ca9deab
- Publication categories
- ;
- Author
- Journal series
- Materials, ISSN , e-ISSN 1996-1944, Biweekly
- Issue year
- 2022
- Vol
- 15
- No
- 22
- Pages
- [1-18]
- Article number
- 8057
- Other elements of collation
- rys.; tab.; wykr.; Bibliografia (na s.) - 18; Bibliografia (liczba pozycji) - 29; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol.15, Iss. 22, Spec. Iss.
- Substantive notes
- Special Issue: Computational Mechanics of Structures and Materials
- Keywords in English
- topology optimization, cellular automaton, colliding bodies, heuristic update rules
- ASJC Classification
- DOI
- DOI:10.3390/ma15228057 Opening in a new tab
- URL
- https://www.mdpi.com/1996-1944/15/22/8057 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 140
- Score source
- journalList
- Score
- Publication indicators
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTbc3830463a774d78bfec8f921ca9deab/
- URN
urn:pkr-prod:CUTbc3830463a774d78bfec8f921ca9deab
* 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.