Bayesian Network-Enhanced Surrogate-Assisted Reliability-Based Design Optimization for Offshore Wind Turbine Support Structures

Key Points

• The study aims to enhance design optimization for offshore wind turbine support structures using Bayesian networks and surrogate models.
• Utilized Bayesian network frameworks for optimization analysis
• Employed surrogate-assisted methods to evaluate design reliability
• Focused on offshore wind turbine support structures in the optimization process.
• Demonstrated increased reliability through optimized designs
• Enhanced performance metrics indicated a significant improvement in structural integrity
• Successful application of methods suggests broad potential for offshore renewable energy applications.