• Hemelrijck, Danny Van
• Fonteyn, Sander
• Pyl, Lincy
• Liu, Xing

Abstract

The continuous effort to reduce significantly the CO2 emission has<br/>enforced the automotive industry to embrace composites as a potential<br/>(weight saving) solution. However, for an increased use of these innovative<br/>materials in more load bearing parts, an in-depth understanding<br/>of the mechanical behaviour is mandatory. Whereas stiffness and<br/>Noise, Vibration and Harshness (NVH) are predictable with acceptable<br/>accuracy, the accurate prediction of failure, durability, crash and crush<br/>is still not straightforward and necessitates urgently the development<br/>of more advanced numerical prediction tools. In an attempt to bridge<br/>this gap, the MacroModelMat (M3) research program key targets are<br/>to develop, based on a multi-scale approach, efficient validated predictive<br/>modeling methodologies and tools for macro-level quasi-static behaviour,<br/>fatigue, crush, crashworthiness. The roadmap to achieve these<br/>targets, addressed in the M3 program coordinated by Siemens PLM<br/>Software, will be presented. Emphasis will be given to the multi-scale<br/>crush simulation and the experimental fatigue testing results as part of<br/>the extensive experimental test programme to validate the models.

Topics

• impedance spectroscopy
• simulation
• fatigue
• composite
• durability
• fatigue testing