Towards high velocity deformation characterisation of metals and composites using Digital Image Correlation

Rasmus Normann Wilken Eriksen, Christian Berggreen, S.W Boyd, J.M. Dulieu-Barton

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    Abstract

    Characterisation of materials subject to high velocity deformation is necessary as many materials behave differently under such conditions. It is particularly important for accurate numerical simulation of high strain rate events. High velocity servo-hydraulic test machines have enabled material testing in the strain rate regime from 1 – 500 ε/s. The range is much lower than that experienced under ballistic, shock or impact loads, nevertheless it is a useful starting point for the application of optical techniques. The present study examines the possibility of using high speed cameras to capture images and then extracting deformation data using Digital Image Correlation (DIC) from tensile testing in the intermediate strain rate regime available with the test machines. Three different materials, aluminium alloy 1050, S235 steel and glass fibre reinforced plastic (GFRP) were tested at different nominal strain rates ranging from quasi static to 200 ε/s. In all cases DIC was able to analyse data collected up to fracture and in some cases post fracture. The use of highspeed DIC made it possible to capture phenomena such as multiple necking in the aluminium specimens and post compression failure in GFRP specimens.
    Original languageEnglish
    JournalE P J Web of Conferences
    Volume6
    Pages (from-to)31013
    ISSN2100-014X
    DOIs
    Publication statusPublished - 2010
    Event14th International Conference on Experimental Mechanics - Poitiers, France
    Duration: 4 Jul 20109 Jul 2010
    Conference number: 14

    Conference

    Conference14th International Conference on Experimental Mechanics
    Number14
    Country/TerritoryFrance
    CityPoitiers
    Period04/07/201009/07/2010

    Bibliographical note

    This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial License 3.0, which permits unrestricted use, distribution, and reproduction in any noncommercial medium, provided the original work is properly cited.

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