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This paper introduces DigiTurbine, a synthetic reliability-aware Physics-Informed Neural Network (PINN) benchmark for offshore wind turbine monopile support-structure monitoring, combining forward and inverse PINN with Bayesian prior-informed identification and FORM-based reliability screening.
WaveGraphNet is a coupled inverse-forward graph learning framework for guided-wave damage localization in composite plates, using sparse transducer networks and graph-based spectral descriptors to improve spatial generalization under limited training data.