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MACADAMIA integrates machine learning with physics-based models to enhance the damage tolerance of aerospace composite panels. The project aims to optimize these materials for safety and efficiency in aircraft structures.
MACADAMIA ambitiously seeks a seamless integration of machine learning concepts with physics-based models to optimise aerospace stiffened panels for damage tolerance.
As an innovative strategy to delay damage, nanoparticles will be added in failure-prone hot-spots of composite stiffened panels to serve as damage arrest features.
The efficacy of machine learning when used in conjunction with advanced computational methods for data classification and prediction will be smartly leveraged to classif…
TECHNISCHE UNIVERSITEIT DELFT
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