id:"swepub:oai:gup.ub.gu.se/331031"
Search: id:"swepub:oai:gup.ub.gu.se/331031" > A multiscale deep l...
- 1 of 1
- Previous record
- Next record
- To hitlist
A multiscale deep learning model for elastic properties of woven composites
-
- Ghane, Ehsan (author)
- Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU),University of Gothenburg
-
- Fagerström, Martin, 1979 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
-
- Mirkhalaf, S. Mohsen, 1982 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU),University of Gothenburg
- (creator_code:org_t)
- 2023
- 2023
- English.
- In: International Journal of Solids and Structures. - 0020-7683. ; 282
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Time-consuming and costly computational analysis expresses the need for new methods for generalizing multiscale analysis of composite materials. Combining neural networks and multiscale modeling is favorable for bypassing expensive lower-scale material modeling, and accelerating coupled multi-scale analyses (FE2). In this work, neural networks are used to replace the time-consuming micromechanical finite element analysis of unidirectional composites, representing the local material properties of yarns in woven fabric composites in a multiscale framework. Leveraging the fast multiscale data generation procedure, we presented a second neural networks model to estimate the elastic engineering coefficients of a particular weave architecture based on a broad range of dry resin and fiber properties and yarn fiber volume fraction. As an outcome, this paper provides the user with a generalized, neural network-based approach to tackle the balance of computational efficiency and accuracy in the multiscale analysis of elastic woven composites.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Materialteknik -- Kompositmaterial och -teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Materials Engineering -- Composite Science and Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering (hsv//eng)
Keyword
- Artificial neural networks
- Elastic properties
- Multiscale analysis
- Woven composites
- Multiscale analysis
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- International Journal of Solids and Structures (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Ghane, Ehsan
- Fagerström, Mart ...
- Mirkhalaf, S. Mo ...
- About the subject
-
- ENGINEERING AND TECHNOLOGY
- ENGINEERING AND ...
- and Materials Engine ...
- and Composite Scienc ...
-
- ENGINEERING AND TECHNOLOGY
- ENGINEERING AND ...
- and Mechanical Engin ...
- Articles in the publication
- International Jo ...
- By the university
- University of Gothenburg
- Chalmers University of Technology
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
