Validation of finite‐element models using full‐field experimental data: Levelling finite‐element analysis data through a digital image correlation engine

• DOI: 10.1111/str.12350
• Publication Date: 2020-04-21T02:07:26Z
• Authors: Pascal Lava; Elizabeth M. C. J...; Lukas Wittevrongel; Fabrice Pierron
• Keywords: Levelling; Digital image correlation; Interpolation

Abstract Full‐field data from digital image correlation (DIC) provide rich information for finite‐element analysis (FEA) validation. However, there are several inherent inconsistencies between FEA and DIC that must be rectified before meaningful, quantitative comparisons can made, including strain formulations, coordinate systems, locations, calculation algorithms, spatial resolutions filtering. In this paper, we investigate two full‐field validation approaches: (1) the direct interpolation approach , which addresses first three by interpolating quantity of interest one mesh to other, (2) proposed DIC‐levelling all six simultaneously processing through a stereo‐DIC simulator ‘level' in regularisation sense. Synthetic ‘experimental' were generated based on reference an exemplar test specimen. The was applied, significant errors computed, even though no model form error, because filtering effect engine neglected. contrast, levelling provided accurate results, with error when present. Next, purposefully introduced via mismatch boundary conditions. With approach, conditions completely obfuscated, while it clearly observed. Finally, misaligned slightly data. Both techniques suffered misalignment, thus motivating continued efforts develop robust alignment process. summary, is insufficient, required ensure have same resolution Only after been ‘levelled' maps computed.