J Shanghai Jiaotong Univ Sci ›› 2020, Vol. 25 ›› Issue (6): 755-761.doi: 10.1007/s12204-020-2174-3
KOU Haixia (寇海霞), AN Zongwen (安宗文), MA Qiang (马强), GUO Xu (郭旭)
出版日期:
2020-12-28
发布日期:
2020-11-26
通讯作者:
AN Zongwen (安宗文)
E-mail:anzongwen@163.com
KOU Haixia (寇海霞), AN Zongwen (安宗文), MA Qiang (马强), GUO Xu (郭旭)
Online:
2020-12-28
Published:
2020-11-26
Contact:
AN Zongwen (安宗文)
E-mail:anzongwen@163.com
摘要: In order to predict the lifetime of products appropriately with long lifetime and high reliability, the accelerated degradation testing (ADT) has been proposed. Composite wind turbine blade is one of the most important components in wind turbine system. Its fatigue cycle is very long in practice. A full-scale fatigue testing is usually used to verify the design of a new blade. In general, the full-scale fatigue testing of blade is accelerated on the basis of the damage equivalent principle. During the full-scale fatigue testing, blade is subjected to higher testing load than normal operating conditions; consequently, the performance degradation of the blade is hastened over time. The full-scale fatigue testing of blade is regarded as a special ADT. According to the fatigue failure criterion, we choose blade stiffness as the characteristic quantity of the blade performance, and propose an accelerated model (AM) for blade on the basis of the theories of ADT. Then, degradation path of the blade stiffness is modeled by using Gamma process. Finally, the lifetime prediction of full-scale megawatt (MW) blade is conducted by combining the proposed AM and blade stiffness degradation model. The prediction results prove the reasonability and validity of this study. This can supply a new approach to predict the lifetime of the full-scale MW blade.
中图分类号:
KOU Haixia, AN Zongwen, MA Qiang, GUO Xu. Lifetime Prediction of Wind Turbine Blade Based on Full-Scale Fatigue Testing [J]. J Shanghai Jiaotong Univ Sci, 2020, 25(6): 755-761.
KOU Haixia, AN Zongwen, MA Qiang, GUO Xu. Lifetime Prediction of Wind Turbine Blade Based on Full-Scale Fatigue Testing [J]. J Shanghai Jiaotong Univ Sci, 2020, 25(6): 755-761.
[1] | YE Z S, CHEN L P, TANG L C, et al. Accelerated degradation test planning using the inverse gaussian process [J]. IEEE Transactions on Reliability, 2014,63(3): 750-763. |
[2] | CHANG M S, PARK T K, SUNG B J, et al. Life prediction of brazed plate heat exchanger based on several accelerated life test data [J]. Journal of Mechanical Science and Technology, 2015, 29(6): 2341-2348. |
[3] | LIU Z Y, MA X B, YANG J, et al. Reliability modeling for systems with multiple degradation processes using Inverse Gaussian process and copulas [J]. Mathematical Problems in Engineering, 2014, 2014(1-2): 1-10. |
[4] | WU Q, YANG J Z, WANG J Y, et al. Reliability analysis of degradation with a new independent increment process [J]. Journal of Mechanical Science and Technology,2014, 28(10): 3971-3976. |
[5] | PENG C Y, TSENG S T. Progressive-stress accelerated degradation test for highly-reliable products [J].IEEE Transactions on Reliability, 2010, 59(1): 30-37. |
[6] | WANG H W, XU T X, MI Q L, et al. Approach of lifetime prediction based on Gamma process under accelerated stresses [J]. Science Technology and Engineering,2013, 13(35): 10455-10459 (in Chinese). |
[7] | ZHOU H F, DOU H Y, QIN L Z, et al. A review of fullscale structural testing of wind turbine blades [J]. Renewable and Sustainable Energy Reviews, 2014, 33(2):177-187. |
[8] | KONG C, KIM T, HAN D, et al. Investigation of fatigue life for a medium scale composite wind turbine blade [J]. International Journal of Fatigue, 2006,28(10): 1382-1388. |
[9] | YUN J J, CHANW C, LEE J H, et al. Development of fatigue life prediction method and effect of 10-minute mean wind speed distribution on fatigue life of small wind turbine composite blade [J]. Renewable Energy,2015, 79(1): 187-198. |
[10] | WESTPHAL T, NIJSSEN R P L. Fatigue life prediction of rotor blade composites: Validation of constant amplitude formulations with variable amplitude experiments[J]. Journal of Physics: Conference Series,2014, 555(1): 012107. |
[11] | International Electrotechnical Commission. Wind turbine generator systems-part 23: Full-scale structural testing of rotor blades: IEC TS 61400-23 [S]. Geneva,Switzerland: IEC, 2014. |
[12] | ZHAO J Y, LIU F. Models and statistical analysis for accelerated degradation test [J]. Journal of Harbin Institute of Technology, 2008, 40(12): 2088-2090 (in Chinese). |
[13] | ZHANG L A, HUANG X M, WEI X T. Energy consumption analysis of large wind turbine blade fatigue loading mode [J]. Renewable Energy Resources, 2012,30(8): 50-58 (in Chinese). |
[14] | SI X S, WANG W B, HU C H, et al. Remaining useful life estimation: A review on the statistical data driven approaches [J]. European Journal of Operational Research,2011, 213(1): 1-14. |
[1] | ZHENG Yuqiao, ZHANG Lu, PAN Yongxiang, HE Zhe . Multi-Objective Structural Optimization of a Wind Turbine Tower[J]. Journal of Shanghai Jiao Tong University(Science), 2020, 25(4): 538-544. |
[2] | CEN Haitang (岑海堂), WEI Ruitao (魏瑞涛), TIAN Wenliang (田文良), HUANG Jinlei (黄金磊), NA. Finite Element Simulation Study on Blade Coating of Wind Turbine[J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(2): 223-229. |
[3] | GUO Wenqiang (郭文强), SUN Pengwen (孙鹏文), NIU Lei (牛磊), WANG Zongtao (王宗涛). Fatigue Life Analysis of Longitudinal Welding Seam for Wind Turbine Tower[J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(2): 261-265. |
[4] | CEN Haitang (岑海堂), TIAN Wenliang* (田文良), LI Peiwen (李沛文), WEI Ruitao (魏瑞涛). Simulation Analysis on Polyurethane Coating of Wind Blade[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(4): 496-499. |
[5] | ABBAS Zulkarnain, ABBAS Saqlain, BUTT Zubair, PASHA Riffat Asim. Design and Parametric Investigation of Horizontal Axis Wind Turbine[J]. sa, 2018, 23(3): 345-. |
[6] | WU Lei1 (吴 磊), LIU Wangyu2* (刘旺玉), SU Zhangming2 (苏章明),WANG Ningling2 (汪宁陵), HUA. Buckling Design of Conical Shells Based on Palm Trunks: Survey of Power-Law Distributed Thin-Walled Conical[J]. 上海交通大学学报(英文版), 2016, 21(3): 313-319. |
[7] | GUO Hong-che1,2 (郭洪澈), QIU Tian-yu3 (邱天雨), JIANG Jiu-chun1 (姜久春). Design of Fuzzy Controller for Direct Drive Wind Turbines[J]. 上海交通大学学报(英文版), 2012, 17(2): 209-214. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||