At our group, Structural Health Monitoring (SHM) has been proposed for damage identification in infrastructure (e.g., bridges) and road pavements, and more recently for climate change adaptation. Four main vectors have driven our research: system identification (e.g., dynamic field tests), machine learning, finite element modeling, and sensor node development. For more information: https://civilresearchgroup.ulusofona.pt/SHM/
Video-based approaches are rooted in the photogrammetry whose principles were first developed as a means to create maps from aerial photographs.
Eloi Figueiredo and Ionut Moldovan, along with Laura Souza and Romolo Lopes from UFPA, are performing for one week dynamic field tests on two bridges in Marabá, state of Pará, Brazil. These activities are supported by DNIT – the Brazilian national road authority.
For more information: ClimaBridge Project – Impact of climate change on the structural health of bridges. This project is coordinated by Eloi Figueiredo.
At our group, Structural Health Monitoring (SHM) has been proposed for damage identification in infrastructure (e.g., bridges) and road pavements, and more recently for climate change adaptation. Four main vectors have driven our research: system identification (e.g., dynamic field tests), machine learning, finite element modeling, and sensor node development.
