Numerical simulation of strain-softening behavior of glass-filled polymer composites: Comparison of two-dimensional and three-dimensional analyses using Arruda-Boyce and Three-Network viscoplastic models. (December 2022)
- Record Type:
- Journal Article
- Title:
- Numerical simulation of strain-softening behavior of glass-filled polymer composites: Comparison of two-dimensional and three-dimensional analyses using Arruda-Boyce and Three-Network viscoplastic models. (December 2022)
- Main Title:
- Numerical simulation of strain-softening behavior of glass-filled polymer composites: Comparison of two-dimensional and three-dimensional analyses using Arruda-Boyce and Three-Network viscoplastic models
- Authors:
- Kumar, Siddharth
Singh, Sarthak S.
Rozycki, Patrick - Abstract:
- Abstract: Most polymers and stiff-filler reinforced polymer composites exhibit post-yield strain-softening characteristics under large deformation mechanical loading. Singh et al. [Polymer Composites, 40 (12), pp. 4726–4741, 2019] conducted compression tests on glass-filled epoxy composites, altering the shape and volume percent of the glass fillers, and observed a dominant strain-softening tendency immediately after the yield stress values. This study aims to capture the post-yield strain-softening characteristics of glass-filled epoxy composites reported by Singh et al. using finite element analysis (FEA). Arruda - Boyce (AB) and Three Network (TN) viscoplastic constitutive material models are used as matrix behavior to perform numerical simulations on two-dimensional and three-dimensional representative volume elements (RVEs), where spherical (circular in 2D) and milled/cylindrical (rectangular in 2D) fillers are randomly positioned and oriented inside. When the calibrated AB and TN models were used to simulate the stress-strain response of the pristine matrix, both models numerically converged and were in good agreement with the experimental results. However, when filler-reinforced polymer composites are considered, the simulations using the AB model become unstable and fail to converge soon after the yield stress (at small strain values) is reached. Whereas simulations using the TN model take a short period to converge to large strain values compared to the formerAbstract: Most polymers and stiff-filler reinforced polymer composites exhibit post-yield strain-softening characteristics under large deformation mechanical loading. Singh et al. [Polymer Composites, 40 (12), pp. 4726–4741, 2019] conducted compression tests on glass-filled epoxy composites, altering the shape and volume percent of the glass fillers, and observed a dominant strain-softening tendency immediately after the yield stress values. This study aims to capture the post-yield strain-softening characteristics of glass-filled epoxy composites reported by Singh et al. using finite element analysis (FEA). Arruda - Boyce (AB) and Three Network (TN) viscoplastic constitutive material models are used as matrix behavior to perform numerical simulations on two-dimensional and three-dimensional representative volume elements (RVEs), where spherical (circular in 2D) and milled/cylindrical (rectangular in 2D) fillers are randomly positioned and oriented inside. When the calibrated AB and TN models were used to simulate the stress-strain response of the pristine matrix, both models numerically converged and were in good agreement with the experimental results. However, when filler-reinforced polymer composites are considered, the simulations using the AB model become unstable and fail to converge soon after the yield stress (at small strain values) is reached. Whereas simulations using the TN model take a short period to converge to large strain values compared to the former model. The existence of an extra elastic-viscoplastic network in the TN model improves stability in the model's strain-softening zone, allowing for faster numerical convergence. Therefore, the TN model can be used to simulate the strain-softening behavior of both pristine and stiff-filler-reinforced polymer composites under large deformations. The true stress versus true strain data retrieved from the FEA of the two-dimensional and three-dimensional simulations using the TN model were compared with experimental data. When the TN constitutive model was used in three-dimensional simulations instead of the AB viscoplastic model, the elastic modulus, yield stress, and post-yield strain-softening characteristics of the spherical particle and milled fibre epoxy composites were shown to predict the experimental data rather well. Graphical abstract: Image 1 Highlights: Three-Network (TN) Model predicts the post-yield strain-softening behavior of stiff-filler reinforced polymer composites until large deformation. Numerical convergence and stability of Three-Network (TN) Model is superior to the Arruda-Boyce (AB) Viscoplastic Model. Three-Dimensional simulations for slender fillers predicted the experimental data better as opposed to the Two-Dimensional simulations. … (more)
- Is Part Of:
- Mechanics of materials. Volume 175(2022)
- Journal:
- Mechanics of materials
- Issue:
- Volume 175(2022)
- Issue Display:
- Volume 175, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 175
- Issue:
- 2022
- Issue Sort Value:
- 2022-0175-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- Polymer composites -- Spherical and milled glass fillers -- Strain softening behavior -- Arruda-boyce viscoplastic constitutive model -- Three network viscoplastic constitutive model
Strength of materials -- Periodicals
Mechanics, Applied -- Periodicals
Résistance des matériaux -- Périodiques
Mécanique appliquée -- Périodiques
Mechanics, Applied
Strength of materials
Periodicals
Electronic journals
620.11 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01676636 ↗
http://books.google.com/books?id=hWtTAAAAMAAJ ↗
http://www.elsevier.com/journals ↗
http://www.elsevier.com/homepage/elecserv.htt ↗ - DOI:
- 10.1016/j.mechmat.2022.104481 ↗
- Languages:
- English
- ISSNs:
- 0167-6636
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5424.105000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24264.xml