Abstract: The significant design redundancy in the offshore wind turbine infrastructure results in high construction costs for offshore wind turbines. The design of the jacket offshore wind turbine should be optimized to improve the economic benefits of the structure. Firstly, the environmental load of the offshore wind turbine is simulated based on the data from the sea trial to obtain the time history of the environmental load of the offshore wind turbine. Secondly, the strength of the flat box girder type four-pile jacket offshore wind turbine infrastructure is checked by using the finite element method, indicating that the structure can be lightweight. Finally, with the target response of the maximum average stress, maximum displacement and mass of the structure, the contribution and main effect relationship of the structure scantlings to the target response of the structure are obtained by the optimization method combing the design of experiments (DOE) with the particle swarm optimization (PSO) algorithm, and the optimized structure scantlings are determined. The structural optimization of the offshore wind turbine infrastructure can reduce the construction costs while ensuring safety. It can provide parameter references for subsequent design and construction of the offshore wind turbine infrastructure.

Key words: offshore wind turbine infrastructure, optimization design, finite element method, design of experiments(DOE) method, particle swarm algorithm

摘要： 目前海上风机基础结构存在明显的设计冗余,导致海上风机建造成本过高。为提高经济效益,需要对导管架式海上风机基础结构进行优化设计。该文首先基于海上实测数据对海上风机所处环境载荷进行模拟,得到其时间历程;其次通过有限元方法对平箱梁四桩导管架式海上风机基础结构进行强度校核,发现结构可进行轻量化处理;最后以结构最大平均应力、最大位移和质量为目标响应,通过试验设计（design of experiments, DOE）方法和粒子群算法组合的优化方法,得到结构尺寸对结构目标响应的贡献度和主效应关系,并确定各结构最优尺寸。对海上风机基础结构进行优化设计,能在保证安全的前提下降低建造成本,可为后续海上风机基础结构设计建造提供参数参考。

关键词: 海上风机基础, 优化设计, 有限元方法, 试验设计方法, 粒子群算法