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Stress-strain behaviour of metal cellular materials using artificial neural networks
Authors:
- Anna Stręk,
- Marek Dudzik,
- Tomasz Machniewicz
Abstract
n/a
- Record ID
- CUT5b25984a3d7c4cd19ac063eead82f158
- Document type
- abstract
- Author
- Reportcategories
- ;
- Language
- eng (en) English
- License
- Year of creation
- 2022
- Issue year
- 2022
- Other elements of collation
- Numer materiału - ID 65
- Substantive notes
- Sesja tematyczna: S05 Micromechanics of heterogeneous materials
- URL
- http://cmm-solmech.ippt.pan.pl/S05.html Opening in a new tab
- Score (nominal)
- 0
- Conference
- CMM-SolMech2022 : 24th International Conference on Computer Methods in Mechanics; 42nd Solid Mechanics Conference, 2022, 05-09-2022 - 08-09-2022, Świnoujście, Polska
- Keywords in English
- cellular metallic materials, neural networks
- Additional fields
- Wydawca: Polish Academy of Sciences. Institute of Fundamental Technological Research [etc.]
- Opublikowane w: CMM 2022 & 42nd SolMech 2022 : 24th International Conference on Computer Methods in Mechanics, 42nd Solid Mechanics Conference, September 5-8, 2022, Świonujście, Poland
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/report/CUT5b25984a3d7c4cd19ac063eead82f158/
- URN
urn:pkr-prod:CUT5b25984a3d7c4cd19ac063eead82f158