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  4. Simulated annealing framework for generating representative volume elements of materials with complex ligamentous microstructures

Simulated annealing framework for generating representative volume elements of materials with complex ligamentous microstructures

Publikationstyp
Journal Article
Date Issued
2023-09
Sprache
English
Author(s)
Davoodi Kermani, Iman
Dyckhoff, Lena
Aydin, Roland C.
Huber, Norbert
Werkstoffphysik und -technologie M-22
Cyron, Christian J.
Kontinuums- und Werkstoffmechanik M-15
TORE-URI
https://hdl.handle.net/11420/40878
Journal
Computational Materials Science
Volume
228
Article Number
112302
Citation
Computational Materials Science 228: 112302 (2023-09)
Publisher DOI
10.1016/j.commatsci.2023.112302
Scopus ID
2-s2.0-85161086075
At the microscale, various materials from biological tissues to nanoporous metals are formed by networks of ligaments. Here we propose a highly efficient simulated annealing (SA) framework for generating synthetic representative volume elements (RVE) of such materials. It can produce RVE where the microstructural characteristics both on the network level (e.g., node valency and ligament length) and on the level of individual ligaments (e.g., curvature) can be predefined by the user via probability distributions. As an application example of our framework, we generate a large variety of RVEs, analyze their mechanical properties by the finite element method, and establish through this approach links between microstructural descriptors and macromechanical properties of materials with ligamentous microstructures.
Subjects
Descriptors
Microstructure
Network
Representative volume element
Simulated annealing
DDC Class
600: Technology
Funding(s)
SFB 986: Subproject B04 - Micromechanical behavior of hierarchical materials
SFB 986: Teilprojekt B09 - Mikrostrukturbasierte Klassifizierung und mechanische Analyse nanoporöser Metalle durch maschinelles Lernen
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