Zhen Guo

Towards rapid fatigue assessment of UHPC for wind turbine towers: A sparse-data-driven prediction framework via DeepONet with latent vector adaptation

Rapid assessment of high-cycle fatigue degradation in ultra-high-performance concrete (UHPC) is constrained by the long duration of full-lifecycle fatigue testing. This study develops an uncertainty-aware Bayesian transfer learning framework (U-BTL) that combines Deep Operator Ne...

Nonlinear instability and time-domain response of thin-walled UHPC towers under floating dynamic boundaries

The upscaling of floating offshore wind turbines (FOWTs) to 15-MW capacities requires ultra-flexible, thin-walled ultra-high performance concrete (UHPC) towers, posing critical challenges to nonlinear stability. Conventional decoupled design approaches fail to capture the coupled...