Composite characterization using digital image correlation (DIC) approach for stress-strain prediction

Identifying elastic parameters such as Young’s modulus and Poisson’s ratio is an important step in analysing material properties. They can be obtained by different ways : using extensometer, strain gauge, laser or more complex approach such as Digital Image Correlation (DIC). This last technology is getting more notoriety in recent years. DIC has the advantages of convenience, economic benefits, non-destructive measurement, and is suitable for most materials such composites materials compared with traditional methods. In this work, we apply the DIC coupled with new prediction approach to build the stress-strain curves and Poison modulus at the same time. The samples are Bio-composite polymers built using additive manufacturing. The videos recorded are post-treated using DIC software. Only Young’s modulus is compared to the obtained parameters with extensometer acquisition.