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风电叶片固有频率相关性分析新方法 被引量:4

A new method of analysis on natural frequency correlation of wind turbine blade
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摘要 为进行三维风电叶片振动系统固有频率相关性分析,采用MATLAB和ANSYS共同建立了风电叶片三维有限元参数模型,并分析了叶片固有振动特性。考虑系统随机结构参数对风电叶片固有振动的影响,运用将Monte Carlo与ANSYS相结合的方法对叶片固有振动特性进行相关性分析,进而判断其对随机结构参数的敏感性,形成了一种叶片结构参数与固有频率相关性分析的新方法。该方法无须求导运算,无须改变现有固有频率求解程序,即可进行相关性分析,利于工程人员掌握和应用。 In order to analyze the natural frequency correlation of wind turbine blade vibration system, a 3-D parametric finite element model is established and natural vibration characteristic is analyzed by MATLAB and ANSYS. As the random structural parameters have effects on natural vibration of the blade, a new method for analysis of natural frequency correlation of wind turbine blade is proposed, which combining Monte Carlo with ANSYS to analyze the natural vibration characteristic of the blade and then can determine the sensitivity to the parameters. By this method, differentiate operation is not necessary and the conventional computing procedure used to calculate the frequencies does not need any improvement. This method is easy to master for engineers.
出处 《可再生能源》 CAS 北大核心 2011年第6期15-19,共5页 Renewable Energy Resources
基金 南京工业大学自然科学基金项目(39724001)
关键词 风电叶片 MONTE CARLO方法 固有频率 相关性分析 wind turbine blade Monte Carlo method natural frequency correlation analysis
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  • 1陈朝辉,毕玉华,申立中,沈颖刚,颜文胜,雷基林.涡轮增压器压气机叶片模态特性分析[J].拖拉机与农用运输车,2006,33(4):28-29. 被引量:3
  • 2陈运生,敖勇,毛保全.自行火炮动力学分析的一种广义模态综合法[J].弹道学报,1997,9(1):31-37. 被引量:3
  • 3郑兆昌.机械振动[M].北京:机械工业出版社,1980..
  • 4刘保国 赵玉春 等.水轮发电机组轴系动力特性计算分析与程序介绍.第三届全国转子动力学学术会议论文集[M].青岛,1992.138-146.
  • 5黄太平.转子动力学中传递矩阵阻抗耦合法[J].航空动力学报,1988,3(4):315-318.
  • 6王正.传递矩阵法的奇点及其消除方法[J].振动与冲击,1987,6(2):74-78.
  • 7Lund J W. Sensitivity of critical speed of a rotor to change in the design [ J ]. Journal of mechanics design, 1979, 102: 115-121.
  • 8Sergeyev O, Morz Z. Sensitivity analysis and optimal design of 3D frame structures for stress and frequency constraints [J]. Computers & Structures, 2000, 75: 167-185.
  • 9Prelss U, Friswell M. Calculating derivaties of repeated and non-repeated eigenvalues without explicit use of eigenvectors [J]. AIAA Journal, 2000, 38(8) : 1426-1436.
  • 10Lataillade A D, Blanco S Y. Clergent, J L, et al. Monte Carlo method and sensitivity estimations [ J ]. Journal of quantitative spectroscopy and radiative transfer, 2002, 75: 529-538.

共引文献43

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  • 1谢怀勤,卢少微,王武娟.固化于CFRP的光纤布拉格光栅应变传感特性研究[J].哈尔滨工业大学学报,2006,38(10):1813-1815. 被引量:7
  • 2LOBITZ D W, VEERS P S, EISLER G R, et al. The use of twist-coupled blades to enhance the performance of horizontal axis wind turbines[R]. Albuquer que: Sandia National Laboratory,2001.
  • 3ONG C H, TSAI S W. Design, manufaclure and tes ting of a bend twist D-spar[R]. Albuquerque: Sandia National Laboratory, 1999.
  • 4ZHOU Xingyin, AN Liqiang, WANG Zhangqi. Twist-bend coupling analysis for 5 MW wind turbine blades[J]. Applied Mechanics and Materials, 2012, 152/153/154:703- 708.
  • 5SAAD Aziz, JOHN Gale. Passive control of a wind turbine blade using composite material[C]//Proceed- ings of the ASME 2011 International Mechanical Engi- neering Congress & Exposition. Denver, Colorado, USA: ASME, 2011:1-10.
  • 6BERRY D S, ASHWILL T. Design of 9-meter car bon fiber glass prototype blades: CX 100 and TX-100 [R]. Albuquerque: Sandia National Laboratory, 2007.
  • 7SONG F, NI Y, TAN Z. Optimization design, mod eling and dynamic analysis for composite wind turbine blade[J]. Proeedia Engineering, 2011,16: 369 -375.
  • 8GRIFFITH D T, ASHWILL T D. The Sandia 100- meter all-glass baseline wind turbine blade: SNL100- 00[R]. Albuquerque: Sandia National Laboratory, 2011.
  • 9JONKMAN J, BUTTERFIEI.D S, MUSIAL W, et al. Definition of a 5-MW reference wind turbine for offshore system development [R]. Golden CO: Na- tional Renewable Energy Laboratory, 2009.
  • 10LOCKE J, VALENCIA U. Design studies for twist coupled wind turbine blades [R]. Albuquerque: San dia National Laboratory,2004.

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