Abstract
Crashworthiness focuses on the safety and protection of occupants. In addition, not only do energy absorbing members have to absorb sufficient collision energy, but the vehicle structure must be lightweight to improve power consumption. Nevertheless, estimating vehicle crashworthiness is experimentally expensive and time-consuming. Explicit nonlinear finite element analysis (FEA) is probably the most commonly used modelling technique to evaluate vehicle behaviour during a crash. However, commercial FE software still lacks efficient explicit modelling of lightweight graphene-based nano-composites. This work develops a simple approach to studying 3-phases hybrid fibres/graphene nanoplatelets-reinforced polymer matrix composites through multiscale modelling. Thermo-elasto-plastic response of composites is considered. The heterogeneous material problem is resolved through a kinematic integral equation. A linear spring model LSM is adopted to account for the interfacial behaviour in a modified Mori-Tanaka scheme The non-linear response is established in the framework of the J2 plasticity flow rule coupled with the “Lemaitre-Chaboche” ductile damage. The considered material is short glass -fibres/graphene nanoplatelet/Polyamide-Nylon 6 composite. The model is implemented as a UMAT within LS-DYNA® software for automotive crashworthiness applications. The results highlight the crash performance’s impact, incorporating the influence of the interfacial behaviour and material damage on the peak crash force and specific energy absorption SEA.
Original language | English |
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Title of host publication | Proceedings of the ASME 2022 International Mechanical Engineering Congress and Exposition. Volume 9: Mechanics of Solids, Structures, and Fluids; Micro- and Nano-Systems Engineering and Packaging; Safety Engineering, Risk, and Reliability Analysis; Research Posters. Columbus, Ohio, USA. October 30–November 3, 2022. |
Place of Publication | New York, US |
Publisher | American Society of Mechanical Engineers (ASME) |
Pages | 1-8 |
Number of pages | 8 |
ISBN (Electronic) | 9780791886717 |
DOIs | |
Publication status | Published - 30 Oct 2022 |