Innovative Large‐Scale Prefabricated Onshore Lattice Wind Turbine Support Structures: Multiparameter Collaborative Optimization and Design Guidelines

ABSTRACT Innovative large‐scale lattice wind turbine support structures can effectively utilize wind resources in low wind speed areas, promoting sustainable energy development. In the design of large‐scale lattice support structures, the structural layout and geometric parameters of the lattice segment significantly impact structural efficiency. This study proposes innovative upright and conical lattice wind turbine support structures based on a wind power project. A comprehensive and in‐depth exploration of multidisciplinary multiparameter collaborative optimization for proposed structures was conducted, integrating machine learning, numerical simulation, and secondary finite element development. Additionally, a practical design guideline was established. Utilizing multiphysical field coupled load simulation, integrated fatigue assessment methods, and multiparameter collaborative optimization techniques, finite element analysis models were established for 6452 different design parameters. Design constraints included strength, stiffness, stability, eigenfrequency, and fatigue damage, while decision variables were made based on parameters such as web bar layout, top–bottom diameter ratio, bottom outer diameter, edge number, and number of segments. The optimization objective focused on minimizing steel usage. Feature importance analysis based on machine learning indicated that the bottom outer diameter, number of segments, and top–bottom diameter ratio are the design parameters with the greatest impact on steel usage. Parameter sensitivity analysis examined the influence of different design variables on the steel usage of the proposed support structure. The analysis results revealed the optimal structural configuration strategy and key mechanisms, providing a reference basis for the optimization design of such structures.