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A micromechanics-ba...
A micromechanics-based recurrent neural networks model for path-dependent cyclic deformation of short fiber composites
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- Friemann, J. (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Dashtbozorg, B. (author)
- Technische Universiteit Eindhoven,Eindhoven University of Technology
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- Fagerström, Martin, 1979 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Mirkhalaf, S. Mohsen, 1982 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU)
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(creator_code:org_t)
- 2023-02-08
- 2023
- English.
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In: International Journal for Numerical Methods in Engineering. - : Wiley. - 0029-5981 .- 1097-0207. ; 124:10, s. 2292-2314
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Abstract
Subject headings
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- The macroscopic response of short fiber reinforced composites (SFRCs) is dependent on an extensive range of microstructural parameters. Thus, micromechanical modeling of these materials is challenging and in some cases, computationally expensive. This is particularly important when path-dependent plastic behavior is needed to be predicted. A solution to this challenge is to enhance micromechanical solutions with machine learning techniques such as artificial neural networks. In this work, a recurrent deep neural network model is trained to predict the path-dependent elasto-plastic stress response of SFRCs, given the microstructural parameters and the strain path. Micromechanical mean-field simulations are conducted to create a database for training the validating the model. The model gives very accurate predictions in a computationally efficient manner when compared with independent micromechanical simulations.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Teknisk mekanik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Applied Mechanics (hsv//eng)
- NATURVETENSKAP -- Fysik -- Annan fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Other Physics Topics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Keyword
- recurrent neural networks
- short fiber composites
- cyclic deformation
- path-dependent plasticity
- deep learning
- micromechanics
- cyclic deformation
- deep learning
- micromechanics
- path-dependent plasticity
- recurrent neural networks
- short fiber composites
Publication and Content Type
- art (subject category)
- ref (subject category)
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