DESIGN OPTIMIZATION OF PILES IN JACKET FOUNDATIONS FOR OFFSHORE WIND TURBINE BASED ON GENETIC ALGORITHM

Huang Jiajia, Huang Jianwu, Dai Wei, Wang Lilin, Wang Lizhong, Guo Zhen

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 667-675.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 667-675. DOI: 10.19912/j.0254-0096.tynxb.2025-0513

DESIGN OPTIMIZATION OF PILES IN JACKET FOUNDATIONS FOR OFFSHORE WIND TURBINE BASED ON GENETIC ALGORITHM

  • Huang Jiajia1,2, Huang Jianwu1, Dai Wei1, Wang Lilin3, Wang Lizhong2, Guo Zhen2
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Abstract

For the four-pile jacket foundation of offshore wind turbines, a Python-based parametric modeling program for SACS was developed, relying on data from a practical offshore wind power project. By integrating a genetic algorithm optimization strategy with the program, an intelligent optimization model for the piles in a jacket foundation is developed. Comparative analyses were conducted with the preliminary design and other similar offshore wind power projects to evaluate the optimization performance. The results indicate that: (1) the genetic algorithm-based optimization model exhibits a rapid convergence rate, achieving 93.46% of the final optimal scheme within the first 20 generations; (2) compared with the preliminary design, the optimized scheme reduces the pile foundation mass by 22.35% (approximately 236.40 t), saving over one million RMB per jacket foundation. Compared with other similar projects, the average mass reduction reaches 18.18%; (3) the optimization scheme improves material utilization efficiency by shortening the pile length, reducing the wall thickness, and increasing the pile diameter, thereby reducing mass without compromising bearing capacity and effectively controlling deformation amplitude, which highlights the effectiveness of the proposed optimization strategy in balancing structural safety and economic efficiency. These results demonstrate that the genetic algorithm effectively balances global exploration and local convergence in multi-constraint structural optimization problems, providing a feasible and efficient technical pathway for intelligent optimization design of complex offshore structures.

Key words

offshore wind power / design optimization / genetic algorithms / pile foundations / jacket structure / parametric modeling.

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Huang Jiajia, Huang Jianwu, Dai Wei, Wang Lilin, Wang Lizhong, Guo Zhen. DESIGN OPTIMIZATION OF PILES IN JACKET FOUNDATIONS FOR OFFSHORE WIND TURBINE BASED ON GENETIC ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 667-675 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0513

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