Comparing full-field data from structural components with complicated geometries



Christian, WJR ORCID: 0000-0003-3638-7297, Dean, AD ORCID: 0000-0001-9033-7560, Dvurecenska, K ORCID: 0000-0003-0642-1095, Middleton, CA ORCID: 0000-0001-9488-9717 and Patterson, EA ORCID: 0000-0003-4397-2160
(2021) Comparing full-field data from structural components with complicated geometries. ROYAL SOCIETY OPEN SCIENCE, 8 (9). 210916-.

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Abstract

A new decomposition algorithm based on QR factorization is introduced for processing and comparing irregularly shaped stress and deformation datasets found in structural analysis. The algorithm improves the comparison of two-dimensional data fields from the surface of components where data is missing from the field of view due to obstructed measurement systems or component geometry that results in areas where no data is present. The technique enables the comparison of these irregularly shaped datasets without the need for interpolation or warping of the data necessary in some other decomposition techniques, for example, Chebyshev or Zernike decomposition. This ensures comparisons are only made between the available data in each dataset and thus similarity metrics are not biased by missing data. The decomposition and comparison technique has been applied during an impact experiment, a modal analysis, and a fatigue study, with the stress and displacement data obtained from finite-element analysis, digital image correlation and thermoelastic stress analysis. The results demonstrate that the technique can be used to process data from a range of sources and suggests the technique has the potential for use in a wide variety of applications.

Item Type: Article
Uncontrolled Keywords: image decomposition, full-field deformation, model validation, computational modelling, condition monitoring
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Infection, Veterinary and Ecological Sciences
Faculty of Science and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 08 Sep 2021 08:31
Last Modified: 21 Feb 2023 16:15
DOI: 10.1098/rsos.210916
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3136339

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