首页 | 本学科首页   官方微博 | 高级检索  
     

极端服役环境下的风电机组塔架结构参数优化研究
引用本文:戴巨川,刘旋,杨书仪,文泽军,沈祥兵.极端服役环境下的风电机组塔架结构参数优化研究[J].中国机械工程,2013,24(16):2150-2156.
作者姓名:戴巨川  刘旋  杨书仪  文泽军  沈祥兵
作者单位:1.湖南科技大学,湘潭,411201 2.湘电风能有限公司,湘潭,411000
基金项目:国家自然科学基金资助项目(51205123);湖南省自然科学基金资助项目(11JJ8002);湖南省科技计划资助项目(2012FJ4270) National Natural Science Foundation of China(No. 51205123); Hunan Provincial Natural Science Foundation of China(No. 11JJ8002); Hunan Provincial Science and Technology program ( No. 2012FJ4270)
摘    要:以大型风电机组塔架为对象,开展了极端服役环境下的塔架结构参数优化设计研究。采用壁厚分段式线性变化结构对塔架进行描述,介绍了基于BEM理论的风电机组气动载荷分析方法,运用有限元仿真分析塔架结构参数与极限载荷作用下的应力以及结构参数与固有频率的关联特性,采用支持向量机(SVM)方法分别构建了结构参数与应力、固有频率的快速计算模型。以质量最小为目标,强度、固有频率和边界条件为约束对塔架结构参数进行了设计优化,引入遗传算法(GA)进行优化求解。对某2MW风电机组塔架进行实例设计研究,结果表明优化后的塔架质量减小3.5%。 

关 键 词:风电机组塔架  有限元分析  结构参数优化  支持向量机  遗传算法  

Research on Wind Turbine Tower Structure Parameter Optimization in Extreme Service Environment
DAI Ju-Chuan,LIU Xuan,YANG Shu-Yi,WEN Ze-Jun,CHEN Xiang-Bing.Research on Wind Turbine Tower Structure Parameter Optimization in Extreme Service Environment[J].China Mechanical Engineering,2013,24(16):2150-2156.
Authors:DAI Ju-Chuan  LIU Xuan  YANG Shu-Yi  WEN Ze-Jun  CHEN Xiang-Bing
Affiliation:1.Hunan University of Science and Technology,Xiangtan,Hunan,411201 2.Xiangtan Electric Manufacturing Corporation Ltd.,Xiangtan,Hunan,411000
Abstract:Structure parameter optimization of wind turbine tower in extreme service environment was carried out  herein.A segmented linear change structure was employed to describe the tower wall thickness,and the tower load analysis method was introduced based on blade element momentum(BEM) theory.The related characteristics of tower structure parameters and stress under extreme loads and that of tower structure parameters and natural frequency were analyzed by using the finite element simulation method. The SVM  method was used to build a rapid calculation model of tower structure parameters and stress,and that of tower structure parameters and natural frequency. Then,the minimum tower mass was selected to be as the optimization goal;the strength,natural frequency and the boundary conditions were selected to be as the constraint conditions;the GA was employed to be as the optimization algorithm.Based on the above proposed optimization method,a 2MW wind turbine tower was optimized and the optimization results show that the tower mass is reduced by 3.5% and the stress curve is smoother.
Keywords:wind turbine tower  finite element analysis  structure parameter optimization  support vector machine(SVM)  genetic algorithm(GA)  
点击此处可从《中国机械工程》浏览原始摘要信息
点击此处可从《中国机械工程》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号