Anagrafe della ricerca

Solving these challenges will unlock significant progress toward the EU’s environmental, economic, and safety goals. LEGEND aims to address these challenges by developing an efficient, well-linked, and experimentally validated multi-fidelity modelling framework, accelerated by Machine Learning, capable of capturing the stochastic effects and assessing the criticality of defects on the integrity of composite structures. This framework, assisted by improved Non-Destructive Inspection (NDI) practices and novel experimental methods for EoD characterisation, aims to reduce material waste and time costs from material qualification campaigns and over-conservative re-pair/discard practices, while providing better means of ensuring safety and avoiding oversight through improved tools for certification. LEGEND will equip 14 DCs with the knowledge and tools for assessing EoDs in advanced composite materials, contributing to a new generation of highly-skilled engineers and researchers, enhancing their employability.