Title:
Case Studies of Data Fusion of Nondestructive Testing and Photogrammetry for Concrete Condition Imaging and Assessment
Author(s):
Tsui-Chang
Publication:
Web Session
Volume:
Issue:
Appears on pages(s):
Keywords:
DOI:
Date:
10/23/2022
Abstract:
Visual inspection is often one of the first steps in any concrete condition assessment study. For complex projects, a condition map or sketch is prepared by the engineer. On this map, the observed surface defects, such as cracks and spalls, are manually recorded. As a novel tool for visual inspection, the photogrammetric method uses motion algorithms to create orthomosaic models from overlapping images. As a standalone visual inspection technique, the photogrammetric method is useful for element time lapse analyses and structural health monitoring, as the shape and dimensions of defects (such as cracking) can be quantitatively evaluated and monitored over time. An advantage of the photogrammetric method is its ability to create dimensionally accurate images over which gridded and plotted Non-Destructive Testing (NDT) data can be displayed. This synthesis of data is also known as data fusion. The implementation of data fusion can link the anomalies from the NDT inspection to the surface defects from photogrammetry. Recently, data fusion has been increasingly adopted by engineers and owners so to achieve a more complete concrete condition assessment. A series of condition assessment case studies where data fusion was implemented for different NDT methods (ground penetrating radar (GPR), impact echo/impact echo scanning (IE/IES) and spectral analyses of surface waves (SASW)) is presented in this work.