2011
DOI: 10.1016/j.ijsolstr.2011.02.010
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Shape features and finite element model updating from full-field strain data

Abstract: a b s t r a c tFinite element model updating is an inverse problem based on measured structural outputs, in this case maximum principal strain measured using digital image correlation. Full-field responses in the form of strain maps contain valuable information for model updating but within large volumes of highly-redundant data. In this paper, shape descriptors based on Zernike polynomials having the properties of orthogonality and rotational invariance are shown to be powerful decomposition kernels for defin… Show more

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Cited by 67 publications
(61 citation statements)
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“…This approach, though uncommon in strain derivation applications, has proved its worth in various noise related problems [12,45,27].…”
Section: Modal Derivationmentioning
confidence: 99%
“…This approach, though uncommon in strain derivation applications, has proved its worth in various noise related problems [12,45,27].…”
Section: Modal Derivationmentioning
confidence: 99%
“…In their report, the modulus of elasticity of a steel specimen determined by the DIC technique was equal to 201 GPa, whereas its benchmark value was 206 GPa. Several researchers further employed the concept and studied mechanical properties of materials with the finite element-based integrated DIC technique [96][97][98][99][100][101]. According to Leclerc et al [102], the DIC technique was applied to update material properties in simulation of finite elements, so that the difference between the real and simulated displacements was minimized.…”
Section: Applications Of Digital Image Correlation In Two-dimensionalmentioning
confidence: 99%
“…It basically determines the material parameters by minimizing the discrepancy between FE simulation results and the experimental measurements. This has been applied over the years to a wide range of constitutive models, among which elasticity and elasto-plasticity (Broggiato et al, 2008;Güner et al, 2012;Lecompte et al, 2007;Wang et al, 2011;Zang et al, 2014;Zhang et al, 2014). Nevertheless, FEMU is computationally demanding since a FE model has to be updated iteratively, even for the simplest case of elasticity.…”
Section: Introductionmentioning
confidence: 99%