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OALib Journal期刊
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-  2016 

预应力混凝土-钢组合风电塔架塔段优化研究

Keywords: 组合风电塔架 结构优化 改进的粒子群算法 钢筒风电塔架
hybrid wind turbine tower structural optimization particle swarm optimization(PSO) traditional steel tubular wind turbine tower

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Abstract:

以某2 MW传统钢筒结构风电塔架为对象,采用预应力混凝土-钢组合塔架结构取代原钢筒结构,并对组合塔架结构的两塔段进行优化.以造价为目标函数, 在塔架几何外形不变的情况下,考虑预应力混凝土与钢塔段的强度、刚度、稳定性、疲劳以及自振频率、顶部最大位移等约束条件, 借助改进的粒子群优化算法,对预应力混凝土和钢塔段的高度及其截面尺寸进行优化.结果表明,采用粒子群算法对预应力混凝土-钢组合塔架两个塔段进行优化后,在满足各项约束条件的前提下,组合塔架结构形式的造价比传统钢塔架造价降低约27%.
A prestressed concrete-steel hybrid tower structure was proposed to replace a conventional 2 MW steel tubular wind turbine tower structure. The height and section size of the prestressed concrete-steel hybrid tower were optimized by an updated partial swarm optimization algorithm, where the cost was taken as the optimal objective function, and the constraint conditions including the strength, stability and the stiffness of the prestressed concrete and steel tubular segments, as well as the fatigue, natural frequency, and the maximum top deflection of the hybrid tower structure were considered, but the shape of the tower was kept unchanged. The optimization results show that the total construction cost of the prestressed concrete-steel hybrid wind turbine tower satisfying all of the constraint considerations is about 27 % less than that of the conventional steel tubular wind tower.

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