Photogrammetric analysis for inspection and damage detection: preliminary assessment and future extension to large-volume structures

Photogrammetric analysis for inspection and damage detection: preliminary assessment and future extension to large-volume structures

Mattia Trombini, Domenico A. Maisano, Alfonso Pagani

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Abstract. This work aims to provide a preliminary understanding of the advantages of using visual techniques for the inspection and damage detection of large-volume structures. Some preliminary results provide a precise indication of tolerance of photogrammetric reconstructions and some indications to avoid the effect of reflectance of materials. Moreover, the overlap between reference CAD and the reconstructed model provides a picture of the most critical areas to cover with the camera. Finally, some colorband plots exploit the distribution of distances between reference and reconstructed models.

Keywords
Photogrammetry, Geometry Reconstruction, Damage Detection, Visual Inspection, Digital Twin

Published online 9/1/2023, 7 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Mattia Trombini, Domenico A. Maisano, Alfonso Pagani, Photogrammetric analysis for inspection and damage detection: preliminary assessment and future extension to large-volume structures, Materials Research Proceedings, Vol. 33, pp 355-361, 2023

DOI: https://doi.org/10.21741/9781644902677-52

The article was published as article 52 of the book Aerospace Science and Engineering

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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