Abstract
In the paper, an alignment methodology of finite element and full-field measurement data of planar specimens is presented. The alignment procedure represents an essential part of modern material response characterisation using heterogeneous strain-field specimens. The methodology addresses both the specimen recognition from a measurement’s image and the alignment procedure and is designed to be applied on a single measurement system. This is essential for its practical application because both processes, shape recognition and alignment, must be performed only after the specimen is fully prepared for the digital image correlation (DIC) measurements (white background and black speckles) and placed into a testing machine. The specimen can be observed with a single camera or with a multi-camera system. The robustness of the alignment method is presented on a treatment of a specimen with a metamaterial-like structure and compared with the well-known iterative closest point (ICP) algorithm. The performance of the methodology is also demonstrated on a real DIC application.
Highlights
Advanced constitutive models allow precise adjustment of the material mechanical response to specific loading conditions
The method deals with the alignment of planar specimens, which is a field becoming increasingly popular due to its potential when combining full-field measurements with material characterization
An integral part of advanced material characterisation by using full-field measurement techniques is the alignment between the FEA data and the experimental digital image correlation (DIC) data
Summary
Advanced constitutive models allow precise adjustment of the material mechanical response to specific loading conditions. Their flexibility is a result of a large number of free parameters. An alternative to the approach is taking into account the full-field kinematic information. Such data are normally acquired through digital images from where the displacement fields can be calculated using the digital image correlation (DIC) techniques. The approach gives rise to the development of complex specimen shapes [3], making it possible to identify material parameters through a single experiment [4]. Still not sufficiently resolved and addressed in this work, is the alignment of planar specimens between the modelling (numerical) data and experimental DIC data
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