变截面构架式风力发电塔架GA优化
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国家自然科学基金资助重点项目(50638010)


GA Optimization for Variable Cross Section frame wind turbine
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    摘要:

    提出了一种新型风力发电塔架结构形式:构架式风力发电塔架,并根据遗传算法(GA)二进制编码方法,以实际工程为背景,编制了变截面构架式塔架Fortran优化模型程序,分别对塔架进行了截面尺寸优化、形状优化的计算和比较,最后利用有限元软件,采用自定义梁单元参数,建立了传统单管塔优化模型。计算结果表明,构架式风电塔架相对于单管塔架,具有较高的刚度和一阶自振频率,且该结构具有基础工程量小,方便运输,降低施工难度等优点。

    Abstract:

    A new type of wind turbine tower,Variable CrossSection Frame wind turbine, was proposed. With Fortran language and binarycoding method of Genetic Algorithm (GA), calculation algorithm of varying crosssection frame wind turbine was developed base on practical project. Upon the optimization algorithm, sectionsize and shape optimization of wind tower was carried out. By the finite element software, with userdefined beam element parameters, an optimization model was proposed for traditional singlepipe tower. It was found that compared with singlepipe tower, frame wind turbine has quite a lot advantages such as relative higher first natural frequency and stiffness, relative lower foundation quantities, easy to be carried and constructed and so on.

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郑瑞杰,马人乐.变截面构架式风力发电塔架GA优化[J].土木与环境工程学报(中英文),2009,31(6):1-6. MA Renle, ZHENG Ruijie. GA Optimization for Variable Cross Section frame wind turbine[J]. JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING,2009,31(6):1-6.10.11835/j. issn.1674-4764.2009.06.002

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  • 收稿日期:2009-09-24
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