提出不确定风载下风力机叶片疲劳累积损伤计算方法。基于风场实测数据,应用最大似然估计法采用多种分布函数对其进行拟合和效果评价,探究不确定风载下循环载荷的表征方法。以风速区间为基本单位,考虑叶片受到的非比例多轴应力作用,采用多轴疲劳累积损伤理论,研究风速实测周期内的疲劳累积损伤计算方法;结合风速区间分布概率,推导出叶片长期疲劳累积损伤计算模型。工程实例表明:该方法能够得到较为准确的叶片服役时长疲劳累积损伤。
Abstract
A calculation method for fatigue cumulative damage of wind turbine blades under uncertain wind load is proposed in this paper. Based on the measured wind field data, the maximum likelihood estimation method is used to fit and evaluate the effectiveness of various distribution functions, and the characterization method of cyclic load under uncertain wind load is explored. Taking the wind speed interval as the basic unit and considering the non-proportional multi-axial stress on the blades, the multi-axial fatigue cumulative damage theory is adopted to study the calculation method of fatigue cumulative damage during the measured period of wind speed. Combined with the distribution probability of the wind speed interval, the calculation model of long-term fatigue cumulative damage of blade is derived. Engineering examples show that this method can provide more accurate estimates of fatigue cumulative damage during the blade’s service life.
关键词
疲劳累积损伤 /
分布概率 /
风力机叶片 /
不确定风载 /
多轴应力
Key words
fatigue damage /
probability distributions /
wind turbine blades /
uncertain wind load /
multiaxial stress
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参考文献
[1] MOURAD A I, ALMOMANI A, AHMAD SHEIKH I, et al.Failure analysis of gas and wind turbine blades: a review[J]. Engineering failure analysis, 2023, 146: 107107.
[2] 程小全, 杜晓渊. 纤维增强复合材料疲劳寿命预测及损伤分析模型研究进展[J]. 北京航空航天大学学报, 2021, 47(7): 1311-1322.
CHENG X Q, DU X Y.Research development of fatigue life prediction and damage analysis model of fiber-reinforced composite[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(7): 1311-1322.
[3] FU Z S, HU X Y, ZHANG J H.A new fatigue life prediction method based on nonlinear fatigue cumulative damage generalized expression[J]. Journal of mechanical science and technology, 2022, 36(1): 205-212.
[4] 司敏劼, 陈振斌, 郑玉巧. 基于ANSYS兆瓦风力发电机叶片疲劳寿命分析[J]. 现代制造工程, 2016(10): 148-152.
SI M J, CHEN Z B, ZHENG Y Q.Fatigue life analysis of megawatt wind turbine blade based on ANSYS[J]. Modern manufacturing engineering, 2016(10): 148-152.
[5] 关新, 石磊, 梁斌, 等. 基于ANSYS的风力机叶片疲劳可靠性设计[J]. 沈阳工程学院学报(自然科学版), 2019, 15(2): 97-99.
GUAN X, SHI L, LIANG B, et al.Fatigue reliability design of wind turbine blade based on ANSYS[J]. Journal of Shenyang Institute of Engineering (natural science), 2019, 15(2): 97-99.
[6] 蔡新, 常鹏举, 郭兴文, 等. 基于Ansys与nCode联合仿真的风力机叶片疲劳分析[J]. 可再生能源, 2021, 39(10): 1342-1346.
CAI X, CHANG P J, GUO X W, et al.Fatigue analysis of wind turbine blade based on Ansys and nCode co-simulation[J]. Renewable energy, 2021, 39(10): 1342-1346.
[7] GAO J X, AN Z W, KOU H X.Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress[J]. Proceedings of the institution of mechanical engineers, part O: journal of risk and reliability, 2018, 232(6): 598-606.
[8] CHEN X, EDER M A.A critical review of damage and failure of composite wind turbine blade structures[J]. IOP conference series: materials science and engineering, 2020, 942(1): 012001.
[9] ZHANG C Z, CHEN H P, HUANG T L.Fatigue damage assessment of wind turbine composite blades using corrected blade element momentum theory[J]. Measurement, 2018, 129: 102-111.
[10] 安宗文, 杨晓玺, 寇海霞, 等. 1.5 MW风电叶片多轴疲劳寿命分析[J]. 太阳能学报, 2020, 41(5): 129-135.
AN Z W, YANG X X, KOU H X, et al.Multi-axial fatigue life analysis of 1.5 MW wind turbine blades[J]. Acta energiae solaris sinica, 2020, 41(5): 129-135.
[11] IEC 61400-1:2005, Wind turbines-part 1: design requirements(3rd Edition)[S].
[12] Montana state university. SNL/MSU/DOE composite material fatigue database[EB/OL].https://www7.eere.energy.gov/wind/resource_center/resource/snlmsudoe-composite-material-fatigue-database-mechanical-properties-composite-materials.
[13] 刁晓航, 孙鹏文, 马志坤, 等. 基于相变量的风力机叶片宏观拓扑优化设计[J]. 太阳能学报, 2023, 44(3): 198-203.
DIAO X H, SUN P W, MA Z K, et al.Macro topology optimization design of wind turbine blade based on phase variables[J]. Acta energiae solaris sinica, 2023, 44(3): 198-203.
[14] LIU Y M, MAHADEVAN S.Probabilistic fatigue life prediction of multidirectional composite laminates[J]. Composite structures, 2005, 69(1): 11-19.
[15] HU W F, CHOI K K, ZHUPANSKA O, et al.Integrating variable wind load, aerodynamic, and structural analyses towards accurate fatigue life prediction in composite wind turbine blades[J]. Structural and multidisciplinary optimization, 2016, 53(3): 375-394.
[16] YANG M D, ZHANG D Q, HAN X.Enriched single-loop approach for reliability-based design optimization of complex nonlinear problems[J]. Engineering with computers, 2022, 38(3): 2431-2449.
基金
国家自然科学基金(52365034,52165035); 内蒙古自治区直属高校基本科研业务费项目(JY20220080)