STRUCTURE DAMAGE IDENTIFICATION RESEARCH OF WIND TURBINE BLADE BASED ON THE AXIAL MODE SHAPE DIFFERENCE

Abstract

Abstract: Space structure damage identification is a relatively complex process, it has to consider three dimensional vibrations of the structure. In order to identify the structure damage of wind turbine blade, a new standard which is named the axial mode shape difference is put forward for the complex space structure of wind turbine blade. The wind turbine blade structure models of no damage and damage is established by ANSYS, and the influence disciplines of axial mode shape difference is researched under the different of wind turbine blade damage, the method is applied to recognize the damage location of wind turbine blade model. The result shows that the axial mode shape difference can identify damage location, a feasible method is put forward to identify the wind turbine blade structural damage by axial mode shape difference.

Key words: wind turbine blade, structural damage, axial mode shape difference, damage identifition

CLC Number:

TB332
TK83

GU Gui-mei, WANG Zheng, WANG Fang-li. STRUCTURE DAMAGE IDENTIFICATION RESEARCH OF WIND TURBINE BLADE BASED ON THE AXIAL MODE SHAPE DIFFERENCE[J]. COMPOSITES SCIENCE AND ENGINEERING, 2014, 0(11): 11-15.

References

[1] 孙久亮. 复合材料风机叶片无损检测技术应用综述[J]. 玻璃钢/复合材料, 2014, 4:81-84.
[2] 杨节标, 张林文, 胡中永. 大型复合材料结构件检测技术研究进展[J]. 玻璃钢/复合材料, 2013, 3:122-126.
[3] 韩大建, 王文东. 基于振动的结构损伤识别方法的近期研究进展[J]. 华南理工大学学报(自然科学版), 2003,(1): 91-96.
[4] 朱宏平, 余璟, 张俊兵. 结构损伤动力检测与健康监测研究现状与展望[J]. 工程力学, 2011, 28(2):1-11.
[5] Sahin M, Shenoi R A. Quantification and localization of damage in beamlike structures by using artificial neural networks with experiments validation[J]. Engineering Structures, 2003, 25 (14):1785-1802.
[6] Lu Q, Ren G, Zhao Y. Multiple damage location with flexibility curvature and relative frequency change for beam structures[J]. Journal of Sound and Vibration, 2002, 253(5):1101-1114.
[7] 刘龙, 孟光. 基于曲率模态和支持向量机的结构损伤位置两步识别方法[J]. 工程力学, 2006, 23(1):35-39.
[8] 王山山, 任青文. 基于曲率模态振型的刚架结构损伤检测[J]. 动力学与控制学报, 2005, 3(2): 81-86.
[9] 唐小兵. 结构损伤识别及数值模拟[D]. 武汉: 武汉理工大学, 2004.
[10] Robinson N A, Peterson L D, James G H, et al. Damage Detection in Aircraft Structures Using Dynamically Measured Static Flexibility Matrices[C]. Proc.of the 14th International Modal Analysis Conference,1996, 857-865.
[11] 宋雨, 项贻强, 徐兴. 基于结构振动的桥梁损伤识别[J]. 振动、测试与诊断, 2005, 25(3):222-226.
[12] 王俊荣. 海洋平台结构物损伤检测与模型修正方法研究[D]. 青岛: 中国海洋大学, 2009.
[13] 顾培英, 邓昌, 吴福生. 结构模态分析及其损伤诊断[M]. 南京: 东南大学出版社, 2008.
[14] 徐阳, 刘卫生, 乔光辉. 兆瓦级大型风力发电机叶片的无损检测[J]. 玻璃钢/复合材料, 2013, 5:76-79.
[15] 赵玲, 李爱群. 基于单元应变能变化率的结构损伤识别方法[J]. 东南大学学报: 自然科学, 2007, 37(6):1052-1056.
[16] 顾培英, 陈厚群, 李同春,等. 基于损伤应变模态的结构损伤识别直接指标法[J]. 自然科学进展, 2007(2): 240-247.
[17] 贾宏玉, 岳鹏飞, 方治华. 基于三向振型变化率的空间钢架结构损伤识别[J]. 桂林理工大学学报, 2011, 31(4):550-553.
[18] 薛彩虹, 李军向, 王超, 鲁晓锋. 复合材料风电叶片有限元建模和屈曲稳定性分析[J]. 玻璃钢/复合材料, 2014,1:4-7.
[19] 陈顺章, 李录平, 晋风华, 等. 风力机浆叶的三维建模与动力学特性的有限元计算[J]. 可再生能源, 2010, 28(3):30-34.