Predicting the elasto-plastic response of short fiber reinforced composites using a computationally efficient multi-scale framework based on physical matrix properties
- Author
- Hossein Ahmadi (UGent) , Mohammad Hajikazemi (UGent) and Wim Van Paepegem (UGent)
- Organization
- Project
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- A physics-based computationally efficient multi-scale model for prediction of damage mechanisms in composite laminates under multi-axial fatigue loads considering the effects of thermal residual stresses and manufacturing defects
- ProPel: Process and Performance Simulation of Lightweight Structures
- FATHOM: REliPhysics-based fatigue design tool for matrix cracking and delamination in unidirectional and sandwich composites under multi-axial fatigue loads with arbitrary R-ratio: development, validation and finite element implementation
- Abstract
- Predicting the nonlinear mechanical response of short fiber reinforced composites (SFRCs) is a crucial and challenging task. In this paper, a computationally efficient multi-scale strategy is proposed to predict the anisotropic elasto-plastic behavior of SFRCs using the intrinsic mechanical behavior of the pure polymer and fibers without the requirements for reverse engineering. In doing so, different simple unit cells are first examined to find the one that can adequately describe the nonlinear mechanical response of SFRCs' representative volume elements (RVE) with aligned fibers. Considering the effects of packing configuration, fiber aspect ratio, volume fraction and material properties, the performance of different unit cells is investigated. Then, the homogenized mechanical responses of unit cells are linked to Hill's anisotropic plasticity model to correlate the mechanical response of the suggested unit cell to the continuum domain. Using the pseudo-grain approach and a numerical orientation averaging framework, the effects of fiber misalignment are taken into account. A multi-step homogenization strategy is also employed to consider the variation of fiber orientation tensor and volume fraction through the thickness. Finally, the validity and robustness of the proposed multi-scale strategy are extensively investigated based on the RVE-generated results and the available experimental observations.
- Keywords
- Short fiber reinforced composites, Anisotropic plasticity, Micromechanical analysis, Unit cell, Multi-step homogenization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GJMRHMG3V2562TNR91GFGB5Z
- MLA
- Ahmadi, Hossein, et al. “Predicting the Elasto-Plastic Response of Short Fiber Reinforced Composites Using a Computationally Efficient Multi-Scale Framework Based on Physical Matrix Properties.” COMPOSITES PART B-ENGINEERING, vol. 250, 2023, doi:10.1016/j.compositesb.2022.110408.
- APA
- Ahmadi, H., Hajikazemi, M., & Van Paepegem, W. (2023). Predicting the elasto-plastic response of short fiber reinforced composites using a computationally efficient multi-scale framework based on physical matrix properties. COMPOSITES PART B-ENGINEERING, 250. https://doi.org/10.1016/j.compositesb.2022.110408
- Chicago author-date
- Ahmadi, Hossein, Mohammad Hajikazemi, and Wim Van Paepegem. 2023. “Predicting the Elasto-Plastic Response of Short Fiber Reinforced Composites Using a Computationally Efficient Multi-Scale Framework Based on Physical Matrix Properties.” COMPOSITES PART B-ENGINEERING 250. https://doi.org/10.1016/j.compositesb.2022.110408.
- Chicago author-date (all authors)
- Ahmadi, Hossein, Mohammad Hajikazemi, and Wim Van Paepegem. 2023. “Predicting the Elasto-Plastic Response of Short Fiber Reinforced Composites Using a Computationally Efficient Multi-Scale Framework Based on Physical Matrix Properties.” COMPOSITES PART B-ENGINEERING 250. doi:10.1016/j.compositesb.2022.110408.
- Vancouver
- 1.Ahmadi H, Hajikazemi M, Van Paepegem W. Predicting the elasto-plastic response of short fiber reinforced composites using a computationally efficient multi-scale framework based on physical matrix properties. COMPOSITES PART B-ENGINEERING. 2023;250.
- IEEE
- [1]H. Ahmadi, M. Hajikazemi, and W. Van Paepegem, “Predicting the elasto-plastic response of short fiber reinforced composites using a computationally efficient multi-scale framework based on physical matrix properties,” COMPOSITES PART B-ENGINEERING, vol. 250, 2023.
@article{01GJMRHMG3V2562TNR91GFGB5Z,
abstract = {{Predicting the nonlinear mechanical response of short fiber reinforced composites (SFRCs) is a crucial and challenging task. In this paper, a computationally efficient multi-scale strategy is proposed to predict the anisotropic elasto-plastic behavior of SFRCs using the intrinsic mechanical behavior of the pure polymer and fibers without the requirements for reverse engineering. In doing so, different simple unit cells are first examined to find the one that can adequately describe the nonlinear mechanical response of SFRCs' representative volume elements (RVE) with aligned fibers. Considering the effects of packing configuration, fiber aspect ratio, volume fraction and material properties, the performance of different unit cells is investigated. Then, the homogenized mechanical responses of unit cells are linked to Hill's anisotropic plasticity model to correlate the mechanical response of the suggested unit cell to the continuum domain. Using the pseudo-grain approach and a numerical orientation averaging framework, the effects of fiber misalignment are taken into account. A multi-step homogenization strategy is also employed to consider the variation of fiber orientation tensor and volume fraction through the thickness. Finally, the validity and robustness of the proposed multi-scale strategy are extensively investigated based on the RVE-generated results and the available experimental observations.}},
articleno = {{110408}},
author = {{Ahmadi, Hossein and Hajikazemi, Mohammad and Van Paepegem, Wim}},
issn = {{1359-8368}},
journal = {{COMPOSITES PART B-ENGINEERING}},
keywords = {{Short fiber reinforced composites,Anisotropic plasticity,Micromechanical analysis,Unit cell,Multi-step homogenization}},
language = {{eng}},
pages = {{13}},
title = {{Predicting the elasto-plastic response of short fiber reinforced composites using a computationally efficient multi-scale framework based on physical matrix properties}},
url = {{http://doi.org/10.1016/j.compositesb.2022.110408}},
volume = {{250}},
year = {{2023}},
}
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