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Integration of image and displacement monitoring techniques for masonry infrastructure

Image Displacement MonitoringPrincipal Investigator: Dr Matt DeJong

The general project objective is to develop techniques for automated condition assessment of masonry infrastructure. The specific project aim is to integrate data acquired from photography, laser scanning, and videogrammetry to create a comprehensive description of current infrastructure condition, which can be used for structural assessment and asset management. This involves creating new data processing procedures to automatically identify structural damage from the data collected and to map this damage onto a geometric model of the structure. Work to date has focused on creating automated image processing procedures to detect masonry grout patterns and cracking damage using a deterministic approach, and using videogrammetry to collect field data and evaluate the dynamic response of the arch spans of four railway viaducts to live load.