Journal article
Multiscale deformation measurements using multispectral optical metrology
Structural control and health monitoring, v 25(6), pn/a
01 Jun 2018
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.
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Details
- Title
- Multiscale deformation measurements using multispectral optical metrology
- Creators
- Melvin Mathew - Drexel UniversityAndrew Ellenberg - Drexel UniversityShane Esola - Drexel UniversityMatthew McCarthy - Drexel UniversityIvan Bartoli - Drexel UniversityAntonios Kontsos - Drexel University
- Publication Details
- Structural control and health monitoring, v 25(6), pn/a
- Publisher
- Wiley
- Number of pages
- 11
- Grant note
- 1538389 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000432035200009
- Scopus ID
- 2-s2.0-85044254640
- Other Identifier
- 991019168593104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil
- Instruments & Instrumentation