"The aim of my work is to learn health information of one structure by studying a population of other, whilst taking environmental and operational variations into account. In structural health monitoring (SHM), we often find that studying one structure can give a limited view of all the possible damage scenarios. With a population-based approach, we hope to address this challenge. During the research stay, I plan to validate data-based models developed for population-based SHM using the new open-database benchmark structure, the Leibniz University Test Structure for Monitoring (LUMO)."
