基于模态频率变化量检测的风力机叶片寿命损耗预测方法研究
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摘要
在分析复合材料损伤演化及刚度退化模型的基础上,根据风力机叶片模态频率变化与材料刚度之间的定量关系,建立起基于叶片模态频率变化量的叶片寿命损耗诊断方法。同时,以国产某2 MW风力机叶片为例,验算该型叶片运行过程的寿命损耗量,验证本文所提出的叶片寿命损耗预测方法的可行性、有效性。
On the basis of analyzing damage evolution and stiffness degradation model of composite materials, a prediction method of the blade life loss based on blade modal frequency data testing is established according to the quantitative relationship between the modal frequency variation and material stiffness of the material wind turbine blade.At the same time, taking a 2MW wind turbine blade as an example, the life loss of the running blade was verified, and the feasibility and validity of the prediction method of the blade life loss were analyzed.
On the basis of analyzing damage evolution and stiffness degradation model of composite materials, a prediction method of the blade life loss based on blade modal frequency data testing is established according to the quantitative relationship between the modal frequency variation and material stiffness of the material wind turbine blade.At the same time, taking a 2MW wind turbine blade as an example, the life loss of the running blade was verified, and the feasibility and validity of the prediction method of the blade life loss were analyzed.
引文
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[13] Long wang, Zi Junzhang. Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images[J]. Transactions on Industrial Electronics, 2017, 64(9):7293~7303.
[14] Yan Fengwang, Ming Liang, Jia Weixiang. Damage detection method for wind turbine blades based on dynamics analysis and mode shape difference curvature information[J]. Mechanical Systems and Signal Processing, 2014, 48(1):351~367.
[15] Saravia CMN, Machado SNP, Cort Nez VCH. A composite finite element for multibody dynamics:Application to large wind turbine modeling[J]. Engineering Structures, 2013, 56:1164~1176.
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[18]陈文朴,李春,汤金桦,等.气动载荷对风力机叶片动态结构特性影响分析[J].热能动力工程, 2017, 32(4):115~119.
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[20] N Dervilis, M Choi, S G Taylor. On damage diagnosis for a wind turbine blade using pattern recognition[J]. Journal of Sound and Vibration, 2013, 333(6):1833~1850.
[2]宗俊达,姚卫星. FRP复合材料剩余刚度退化复合模型[J].复合材料学报, 2016, 33(2):280~286.
[3]李芒芒,李录平,晋风华,等.模态应变能理论及其在风力机叶片损伤识别中的应用[J].可再生能源, 2012, 30(3):27~32.
[4]雷驰.温度环境下复合材料层合结构疲劳寿命预测方法研究[D].南京航空航天大学, 2015.
[5] P P Camanho, M A Bessa, G Catalanotti, et al. Modeling the inelastic deformation and fracture of polymer-composites-Part2:Smeared crack model[J]. Mechanics of Materials, 2012, 59:36~49.
[6] Reifsnider K L, Henneke E G, et al. Damage mechanics and NDE of composite laminates[M]. New York Pergamon Press, 1983.399~420.
[7]姚卫星,宗俊达,廉伟.监测复合材料结构剩余疲劳寿命的剩余刚度方法[J].南京航空航天大学学报, 2012, 44(5):677~682.
[8] H A Whitworth. A stiffness degradation model for composite laminates under fatigue loading[J]. Composite Structure, 1998, 40(2):95~101.
[9]徐颖.复合材料层合板冲击损伤及冲击后疲劳寿命研究[D].南京航空航天大学, 2007.
[10] Bang Yanliu, Larry B Lessard. Fatigue and damage-tolerance analysis of composite laminates:stiffness loss,damage-modelling,and life prediction[J].Composites Science and Technology,1994,51(1):43~51.
[11]陈顺章,李录平,晋风华,等.风力机浆叶的三维建模与动力特性有限元计算[J].可再生能源, 2010, 28(3):29~34.
[12]刘胜先,李录平,余涛,等.基于振动加测的风力机叶片覆冰状态诊断技术[J].中国电机工程学报, 2013, 33(32):88~95.
[13] Long wang, Zi Junzhang. Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images[J]. Transactions on Industrial Electronics, 2017, 64(9):7293~7303.
[14] Yan Fengwang, Ming Liang, Jia Weixiang. Damage detection method for wind turbine blades based on dynamics analysis and mode shape difference curvature information[J]. Mechanical Systems and Signal Processing, 2014, 48(1):351~367.
[15] Saravia CMN, Machado SNP, Cort Nez VCH. A composite finite element for multibody dynamics:Application to large wind turbine modeling[J]. Engineering Structures, 2013, 56:1164~1176.
[16] Do T, van de Lindt J, Mahmoud H.Fatigue life of wind turbine tower bases throughout Colorado[J]. Journal of Performance of Constructed Facilities, 2013, 28(2):311~320.
[17]张俊苹.基于振动的旋转风力机叶片损伤识别研究[D].哈尔滨工业大学, 2012.
[18]陈文朴,李春,汤金桦,等.气动载荷对风力机叶片动态结构特性影响分析[J].热能动力工程, 2017, 32(4):115~119.
[19]蒋维.大型风力机叶片模态测试与分析[J].电网与清洁能源, 2012,(11):95~99.
[20] N Dervilis, M Choi, S G Taylor. On damage diagnosis for a wind turbine blade using pattern recognition[J]. Journal of Sound and Vibration, 2013, 333(6):1833~1850.