The process of energy loss in assembled structures during a vibratory motion is largely based on case-by-case knowledge and remains only partially understood in applied mechanics. EPICA aims to shed light on the factors influencing damping at various scales, by combining new friction models and a thorough understanding of the coupling between assembled components, with advanced experiments and physics-informed machine learning. Through a joint effort with Aerospace leaders (Airbus, ESA, NLR, and Rolls Royce), EPICA seeks to improve the predictive accuracy and reliability of multi-component mechanical systems, paving the way for more resilient structures in aerospace and beyond.
The process of energy loss in assembled structures during a vibratory motion is largely based on case-by-case knowledge and remains only partially understood in applied mechanics. EPICA aims to shed light on the factors influencing damping at various scales, by combining new friction models and a thorough understanding of the coupling between assembled components, with advanced experiments and physics-informed machine learning. Through a joint effort with Aerospace leaders (Airbus, ESA, NLR, and Rolls Royce), EPICA seeks to improve the predictive accuracy and reliability of multi-component mechanical systems, paving the way for more resilient structures in aerospace and beyond.

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