Comparing full-field data from structural components with complicated geometries.

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

SUBMITTER: Christian WJR 

PROVIDER: S-EPMC8424334 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature