Review on Artificial Intelligence-aided Life Extension Assessment of Offshore Wind Support Structures

Abstract The primary objective of the present literature review is to provide a constructive and systematical discussion based on relevant development, unsolved issues, gaps, misconceptions in regarding fields study that are building blocks artificial intelligence-aided life extension assessment for offshore wind turbine support structures. aims set up needed guidelines develop multi-disciplinary framework management certification structures turbines using intelligence. main focus centres around intelligent risk-based In this regard, big data analytics, advanced signal processing techniques, supervised unsupervised machine learning methods discussed within structural health monitoring condition-based maintenance planning, development digital twins. Furthermore, discusses critical failure mechanisms affecting condition, such as high-cycle fatigue, low-cycle fracture, ultimate strength, corrosion, considering deterministic probabilistic approaches.