SERVICE LIFE PREDICTION OF WIND TURBINE BLADE BASED ON OPTIMIZATED CONSTANT LIFE FATIGUE LIMIT MODEL

Ma Hang, Bi Junxi, Ge Xinyu, Zhou Dachuan, Jiao Jiaming, Wang Guofu

Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (10) : 362-369.

PDF(2268 KB)
Welcome to visit Acta Energiae Solaris Sinica, Today is
PDF(2268 KB)
Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (10) : 362-369. DOI: 10.19912/j.0254-0096.tynxb.2022-0895

SERVICE LIFE PREDICTION OF WIND TURBINE BLADE BASED ON OPTIMIZATED CONSTANT LIFE FATIGUE LIMIT MODEL

  • Ma Hang1, Bi Junxi, Ge Xinyu2, Zhou Dachuan1, Jiao Jiaming2, Wang Guofu2
Author information +
History +

Abstract

A constant life fatigue limit model, which describes typical glass fiber reinforced plastics (GRP), was proposed and compared with three classical models to effectively evaluate fatigue life of wind turbine blades under random loads. It also pointed out that GRP had different damage accumulation modes in the tensile stage and the compression stage, reflecting that the constant life fatigue limit curve is not symmetric, but looks like a clock. The prediction effect of the proposed model in the stress-life data was compared and analyzed. In additon, ANSYS software was used to establish a numerical simulation model of wind turbine blade. The random variation characteristics of the mean stress and stress amplitude under random load were analyzed. Apart from that, the experimental data were used to fit the quantitative damages of the stress-life curve of the wind turbine blade composite. Finally, through the Miner linear fatigue damage accumulation method, damages in all cycles were accumulated to calculate the total fatigue life. Based on the simulation data, results verified the reasonability of the proposed model in predicting fatigue life of wind turbine blade.

Key words

wind turbine blades / composite / finite element analysis / constant life fatigue limit model / random load

Cite this article

Download Citations
Ma Hang, Bi Junxi, Ge Xinyu, Zhou Dachuan, Jiao Jiaming, Wang Guofu. SERVICE LIFE PREDICTION OF WIND TURBINE BLADE BASED ON OPTIMIZATED CONSTANT LIFE FATIGUE LIMIT MODEL[J]. Acta Energiae Solaris Sinica. 2023, 44(10): 362-369 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0895

References

[1] 唐文艳, 吕文阁, 李德源. 考虑平均应力影响的风力机叶片寿命估算[J]. 太阳能学报, 2016, 37(10): 2703-2709.
TANG W Y, LYU W G, LI D Y.Fatigue life prediction of wind turbine blade considering effect of mean stress[J]. Acta energiae solaris sinica, 2016, 37(10): 2703-2709.
[2] MA Q, AN Z W, GAO J X, et al.A method of determining test load for full-scale wind turbine blade fatigue tests[J]. Journal of mechanical science and technology, 2018, 32(11): 5097-5104.
[3] MOVAGHGHAR A, LVOV G I.A method of estimating wind turbine blade fatigue life and damage using continuum damage mechanics[J]. International journal of damage mechanics, 2012, 21(6): 810-821.
[4] SALIMI MAJD D, AZIMZADEH V, MOHAMMADI B.Loading analysis of composite wind turbine blade for fatigue life prediction of adhesively bonded root joint[J]. Applied composite materials, 2015, 22(3): 269-287.
[5] 王琳琳, 陈长征, 周勃, 等. 基于热力熵分析的风力机叶片疲劳早期损伤研究[J]. 仪器仪表学报, 2019, 40(10): 104-111.
WANG L L, CHEN C Z, ZHOU B, et al.Study on early fatigue damage of wind turbine blade based on thermodynamic entropy analysis[J]. Chinese journal of scientific instrument, 2019, 40(10): 104-111.
[6] KOU H X, AN Z W, MA Q, et al.Lifetime prediction of wind turbine blade based on full-scale fatigue testing[J]. Journal of Shanghai Jiaotong University (science), 2020, 25(6): 755-761.
[7] RAJADURAI J S, CHRISTOPHER T, THANIGAIYARASU G, et al.Finite element analysis with an improved failure criterion for composite wind turbine blades[J]. Forschung im ingenieurwesen, 2008, 72(4): 193-207.
[8] YU Z L, SUN P W, WANG D.Fatigue life prediction for flange connecting bolts of wind turbine tower[J]. Journal of Shanghai Jiaotong University (science), 2020, 25(4): 526-530.
[9] RAVI CHANDRAN K S. Review: fatigue of fiber-reinforced composites, damage and failure[J]. Journal of the Indian Institute of Science , 2022, 102(1): 439-460.
[10] 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.
[11] 刘利琴, 肖昌水, 郭颖. 海上浮式水平轴风力机气动特性研究[J]. 太阳能学报, 2021, 42(1): 294-301.
LIU L Q, XIAO C S, GUO Y.Study on aerodynamic characteristics of floating horizontal wind turbine[J].Acta energiae solaris sinica, 2021, 42(1): 294-301.
[12] 高建雄, 安宗文, 马强. 随机载荷下风电叶片疲劳寿命及可靠性试验评估[J]. 兰州理工大学学报, 2019, 45(4): 38-42.
GAO J X, AN Z W, MA Q.Experimental evaluation of fatigue life and reliability of wind turbine blade subjected to random load[J]. Journal of Lanzhou University of Technology, 2019, 45(4): 38-42.
[13] HARRIS B.A parametric constant-life model for prediction of the fatigue lives of fibre-reinforced plastics[M]. Fatigue in Composites. Amsterdam: Elsevier, 2003: 546-568.
[14] KAWAI M, KOIZUMI M.Nonlinear constant fatigue life diagrams for carbon/epoxy laminates at room temperature[J]. Composites part A: applied science and manufacturing, 2007, 38(11): 2342-2353.
[15] PHILIPPIDIS T P, VASSILOPOULOS A P.Complex stress state effect on fatigue life of GRP laminates[J]. International journal of fatigue, 2002, 24(8): 813-823.
[16] AID A, AMROUCHE A, BACHIR B B, et al.Fatigue life prediction under variable loading based on a new damage model[J]. Materials and design, 2011, 32(1): 183-191.
PDF(2268 KB)

Accesses

Citation

Detail

Sections
Recommended

/