葛新宇, 毕俊喜, 李海滨, 聂晓波, 刘江. 基于故障物理的风力机叶片可靠性仿真分析方法[J]. 太阳能学报, 2024, 45(3): 29-40. DOI: 10.19912/j.0254-0096.tynxb.2022-1716
引用本文: 葛新宇, 毕俊喜, 李海滨, 聂晓波, 刘江. 基于故障物理的风力机叶片可靠性仿真分析方法[J]. 太阳能学报, 2024, 45(3): 29-40. DOI: 10.19912/j.0254-0096.tynxb.2022-1716
Ge Xinyu, Bi Junxi, Li Haibin, Nie Xiaobo, Liu Jiang. RELIABILITY SIMULATION ANALYSIS METHOD OF WIND TURBINE BLADES BASED ON FAULT PHYSICS[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 29-40. DOI: 10.19912/j.0254-0096.tynxb.2022-1716
Citation: Ge Xinyu, Bi Junxi, Li Haibin, Nie Xiaobo, Liu Jiang. RELIABILITY SIMULATION ANALYSIS METHOD OF WIND TURBINE BLADES BASED ON FAULT PHYSICS[J]. Acta Energiae Solaris Sinica, 2024, 45(3): 29-40. DOI: 10.19912/j.0254-0096.tynxb.2022-1716

基于故障物理的风力机叶片可靠性仿真分析方法

RELIABILITY SIMULATION ANALYSIS METHOD OF WIND TURBINE BLADES BASED ON FAULT PHYSICS

  • 摘要: 提出一种基于故障物理的风力机叶片可靠性仿真分析方法,通过绘制任务剖面和载荷剖面图,将叶片材料、结构、环境条件和使用方式等参数加载到数值计算模型中,进行瞬态热力学、振动应力和多应力耦合分析。结果表明,最大应力和热集中主要发生在叶片根部,变形主要发生在叶片中部到叶尖这段区间。从故障原因和机理出发研究叶片的故障规律,运用FMECA(故障模式、影响和危害性分析)处理收集到的故障信息。将定性评价指标予以定量化,以此建立叶片危害性矩阵和FMECA表格,在失效模式下对高危性故障数据进行可靠性评估,为工程实际提供必要的理论支持。该方法相较于传统基于手册的可靠性分析方法精度更高,与研制、生产、维修和管理并行,通过不断更新迭代,以保证产品可靠性要求的实现,为风力机叶片的可靠性分析提供了新的思路和实施方法。

     

    Abstract: This paper proposes a wind turbine blade reliability simulation and analysis method based on fault physics. By drawing task profiles and load profiles,the parameters such as blade material,structure,environmental conditions,and usage are loaded into a numerical calculation model for transient thermodynamics,vibration stress,and multi-stress coupling analysis. The results show that the maximum stress and heat concentration mainly occur at the root of the blade,and deformation mainly occurs in the middle to tip section of the blade. Starting from the causes and mechanisms of faults,the fault patterns of the blades are studied,and the collected fault information is processed using Failure Mode,Effects,and Criticality Analysis(FMECA). Qualitative assessment indicators are quantified to establish a blade hazard matrix and FMECA table,conducting reliability assessment of high-risk fault data under failure modes,providing necessary theoretical support for engineering practices. This method offers higher precision compared to traditional manual reliability analysis methods,running parallel with development,production,maintenance,and management,and ensuring the achievement of product reliability requirements through continuous updates and iterations,providing new ideas and implementation methods for the reliability analysis of wind turbine blades.

     

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