Issue
DYMAT 2009
Volume 1, 2009
DYMAT 2009 - 9th International Conference on the Mechanical and Physical Behaviour of Materials under Dynamic Loading
Page(s) 373 - 379
Section Experimental Techniques
DOI https://doi.org/10.1051/dymat/2009053
Published online 15 September 2009
DYMAT 2009 (2009) 373-379
DOI: 10.1051/dymat/2009053

Validation of digital image correlation technique for impact loading applications

S. Palanivelu1, S. De Pauw1, W. Van Paepegem1, J. Degrieck1, J. Van Ackeren2, D. Kakogiannis2, J. Wastiels2, D. Van Hemelrijck2 and J. Vantomme3

1  Department of Materials Science and Engineering, Ghent University, Sint-Pietersnieuwstraat 41, 9000 Gent, Belgium
2  Department of Mechanics of Materials and Constructions, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
3  Royal Military Academy, Civil and Materials Engineering Department, Building G, Level 0, 8 Av. Hobbema, 1000 Brussels, Belgium


Published online: 15 September 2009

Abstract
Traditionally, many contact sensors have been employed to collect data during an impact test. Often to select the appropriate data acquisition equipments and sensors, prior knowledge of the magnitude of the peak crushing parameters and the duration of the crash event is important. However, this is not an easy task. Any improper selection would lead to loss of sensors and equipments. So a contact-less method is an interesting alternative to collect the data during such dynamic events. In this paper, we propose the Digital Image Correlation technique (DIC) for measuring impact parameters such as deformation-time history of test specimen, impact velocity and the corresponding impact force. To validate this method an axial impact test has been carried out with different test specimens such as recyclable empty beverage cans, circular glass plates and polyurethane foams. Finally the DIC derived results are compared with the signals which were measured by using sensors. The commercially available code Vic-2D was used for carrying out DIC calculations.



© EDP Sciences 2009