As the trend toward larger wind turbines continues, the increasing length of
blades imposes higher demands on their structural properties. And in actual
engineering, wind turbine blade accidents occur frequently. Consequently,
ultra-long flexible blades at the hundred-meter scale typically employ composite
materials. However, due to the high cost of composites, it is necessary to
minimize blade weight to control costs. This study utilizes the MATLAB
simulation platform combined with pattern search algorithms to optimize the
composite layup of large wind turbine blade structures. The structural
properties of the optimized design are then compared and analyzed against those
of the reference structure. Simultaneously investigate the impact of different
loads on the optimization results. The results demonstrate that the pattern
search algorithm can optimize blade layup thickness, spar chordwise position,
and spar width, yielding a new blade structure with improved performance. During
structural optimization, adjustments to the spar, leading edge, and shear web
primarily focus on thickness reduction, while modifications to the trailing edge
and spar width depend on the specific applied loads. Reducing the thickness of
the web and leading edge along the blade span while increasing the thickness and
width of the spar region, along with appropriate adjustments to trailing edge
thickness based on loading conditions, achieves both mass optimization and
enhanced structural reliability. These findings provide valuable guidance for
the structural design optimization of ultra-long flexible blades in large wind
turbines, and have positive significance for the safety and economy of wind farm
operation, offering a more scientific, efficient, and practical approach to
their design.