Session: 03-12-02: Testing and Characterization

Paper Number: 137928

137928 - Material Testing 2.0: Leveraging Full-Field Measurements for Next-Generation Mechanical Testing 

Digital image correlation (DIC) has recently seen a growing interest in both the research and industrial community thanks to the ability to measure rich, full-field kinematic fields with high confidence and minimal instrumentation. Here, an overview of industrial applications of DIC is presented, including the classical characterization of material samples, vibration tests and modal analysis, high strain-rate experiments, and tackling specimens with complicated geometries. More recently, these full-field measurements have been used to develop novel and innovative experimental techniques: first, designing and optimizing heterogeneous mechanical tests for inverse material parameter identification using the virtual fields method (VFM), thus reducing the necessary number of tests and specimens. Next, ranking the performance of constitutive models using the equilibrium gap indicator (EGI), which can be used to demonstrate the suitability of the chosen constitutive model in the VFM analysis using numerically-deformed images. Finally, levelling DIC and finite element (FE) data, which creates a one-to-one comparison between experimental DIC and numerical FE data, as well as producing full-field error maps. This approach results in a more quantitative model validation approach compared to the direct interpolation technique commonly used today. These inventive methods are reviewed in detail and highlight the need for a robust, integrated system to ensure that full-field measurements are leveraged to achieve quantitative and meaningful results.

Presenting Author: Isabella Mendoza MatchID US

Presenting Author Biography: Isabella completed her PhD in Mechanical Engineering at Colorado School of Mines and her BS in Materials Science and Engineering at Drexel University. Her research heavily utilized 2D and 3D digital image correlation (DIC) to characterize the dynamic behavior of brittle materials, such as piezoelectric ceramics and fiber-reinforced polymer (FRP) laminates. Her PhD thesis focused on characterizing impact fatigue damage in carbon fiber-reinforced polymers for naval applications using inverse material identification techniques such as the virtual fields method (VFM) and equilibrium gap indicator (EGI). Currently, she serves as President of the US office of MatchID, a DIC system provider that focuses on enabling quantitative results interpretation with integrated error assessment, material identification, model validation and modal analysis.