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Please use this identifier to cite or link to this item: http://dspace.lib.cranfield.ac.uk/handle/1826/3087

Document Type: Postprint
Title: Failure prediction for advanced crashworthiness of transportation vehicles.
Authors: Pickett, Anthony K.
Pyttel, Thomas
Payen, Fabrice
Lauro, Franck
Petrinic, Nikica
Werner, Heinz
Christlein, Jens
Issue Date: Aug-2004
Citation: Anthony K. Pickett, Thomas Pyttel, Fabrice Payen, Franck Lauro, Nikica Petrinic, Heinz Werner, Jens Christlein. Failure prediction for advanced crashworthiness of transportation vehicles. International Journal of Impact Engineering, Volume 30, Issue 7, Fifth International Symposium on Impact Engineering, August 2004, Pages 853-872
Abstract: During the past two decades explicit finite element crashworthiness codes have become an indispensable tool for the design of crash and passenger safety systems. These codes have proven remarkably reliable for the prediction of ductile metal structures that deform plastically; however, they are not reliable for joining systems and materials such as high strength steels, plastics and low ductility lightweight materials all of which are liable to fracture during the crash event. In order to improve crash failure prediction of materials and joining systems the CEC has recently funded a 3 year European research project dedicated to this topic. Specifically the project concerned aluminium, magnesium, high strength steels, plastics and two primary joining techniques; namely spotwelds and weldlines. Numerous new developments were undertaken including improved failure laws, adaptive meshing and element splitting to treat crack propagation. In the case of sheet stamping, investigations have also tried to account for process history effects and the metallurgical changes that occur during manufacture. This project has recently finished and this paper presents some of the key research results of the work concerning materials failure modelling.
URI: http://dx.doi.org/10.1016/j.ijimpeng.2004.04.004
http://hdl.handle.net/1826/3087
Appears in Collections:Staff publications - School of Applied Sciences

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