Abstract
Damage constitutive models based on micromechanical formulation and a combination of micromechanical and macromechanical damage criterions are presented to predict progressive damage in aligned and random fiber-reinforced composites. Progressive interfacial fiber debonding models are considered in accordance with a statistical function to describe the varying probability of fiber debonding. Based on an effective elastoplastic constitutive damage model for aligned fiber-reinforced composites, micromechanical damage constitutive models for two- and three-dimensional (2D and 3D) random fiber-reinforced composites are developed. The constitutive relations and overall yield function for aligned fiber orientations are averaged over all orientations to obtain the constitutive relations and overall yield function of 2D and 3D, random fiber-reinforced composites. Finally, the present damage models are implemented numerically and compared with experimental data to show the progressive damage behavior of random fiber-reinforced composites. Furthermore, the damage models will be implemented into a finite element program to illustrate the dynamic inelastic behavior and progressive crushing in composite structures under impact loading.
Original language | English |
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Pages (from-to) | 77-86 |
Number of pages | 10 |
Journal | Composites Part B: Engineering |
Volume | 31 |
Issue number | 2 |
DOIs | |
State | Published - Mar 2000 |
Funding
This research was sponsored by the US Department of Energy, Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Transportation Technologies, Lightweight Materials Program, under contract DE-AC05-96OR22464 with Lockheed Martin Energy Research Corporation. The research was supported in part by an appointment to the Oak Ridge National Laboratory Postdoctoral Research Associates Program administered jointly by the Oak Ridge National Laboratory and the Oak Ridge Institute for Science and Education.
Funders | Funder number |
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Lightweight Materials Program | DE-AC05-96OR22464 |
Oak Ridge National Laboratory | |
Office of Transportation Technologies | |
US Department of Energy | |
Lockheed Martin Corporation | |
Office of Energy Efficiency and Renewable Energy | |
Oak Ridge Institute for Science and Education |