Reliability Analysis and System Risk Prediction of Offshore Wind Turbines under Multiple Disasters

PhD student (SA-Res)

Jiaxuan Li

Supervisors

Prof Dagang Lyu (Harbin Institute of Technology)	Prof Yinghui Tian

Project Start Date: April, 2026

Project Details

My research focuses on the reliability and risk assessment of offshore wind turbine support structures under complex marine multi-hazard conditions, including wind, wave, and seismic loads. I develop integrated frameworks combining physics-based modelling and data-driven approaches to address nonlinear and time-varying structural responses. My work applies the Probability Density Evolution Method (PDEM) and generalized first-passage theory to quantify time-varying reliability, alongside Bayesian updating for fatigue degradation analysis. I also utilize deep learning models, such as CNN-LSTM-Attention, for structural state identification and risk prediction. At the system level, I employ Bayesian Networks and statistical modelling to capture failure propagation and dynamic risk evolution. This research aims to enhance the safety, resilience, and lifecycle management of offshore wind energy systems.