Multiscale deformation measurements using multispectral optical metrology

Melvin Mathew, Andrew Ellenberg, Shane Esola, Matthew McCarthy, Ivan Bartoli, Antonios Kontsos

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Remote measurements using images are particularly useful in structural health monitoring cases in which the installation of contact sensors is difficult. Some limitations, though, associated with photogrammetry-type optical metrology involve the application of speckle patterns, which become even more important with variable working distance or when the required resolution and sensitivity are not a priori known which are both very practical common issues. In this context, multispectral sensing can circumvent some of the challenges of acquiring data at different working distances. The objective of this investigation is therefore to use multispectral imaging combined with the method of digital image correlation to demonstrate an approach for remote sensing related to deformation measurements at the structural level. To demonstrate this novel approach, two speckle patterns were designed for measurements at specified working distances; one was set to work in the visible and the second in the ultraviolet spectrum. The results show that the spectral specific reflectivity of the speckle patterns can be used for spatial overlay without affecting imaging in either spectral range considered, which allows the extraction of multiscale deformation information.

Original languageEnglish (US)
Article numbere2166
JournalStructural Control and Health Monitoring
Volume25
Issue number6
DOIs
StatePublished - Jun 2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanics of Materials

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