ERC Consolidator Grant · 2020
Structural damage: robust, real-time, and data-driven adaptive modeling for online control
Diagnosing structural damage and predicting its evolution has been a perpetual engineering issue. It is nowadays the topic of intensive research works addressing online damage detection and control, and benefiting from experimental and numerical advances made during the last decad. On the one hand, embedded sensor technologies nowadays provide high-resolution in situ information on the internal damage state of materials. On the other hand, the booming development of virtual twins and artificial intelligence leads to envision connected engineering structures with computer-based monitoring. Nevertheless, using large noisy data sets and high-fidelity damage models is hardly compatible with the…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.