长沙理工大学学报(自然科学版)
风机叶片根部连接螺栓的弯曲疲劳试验研究
作者:
作者单位:

(1.国家能源集团龙源江永风力发电有限公司,湖南长沙 410000;2.长沙理工大学能源与动力工程学院,湖南长沙 410114;3.西安中科起航测控技术有限公司,陕西西安 712000)

作者简介:

陈 标(1976-),男,高级工程师,主要从事能源动力工程及自动化方面的研究。

通讯作者:

陈 标(1976-),男,高级工程师,主要从事能源动力工程及自动化方面的研究。

中图分类号:

TK83

基金项目:

湖南省自然科学基金资助项目(2019JJ40304)


Experimental research on bending fatigue of connecting bolt sat blade root of wind turbine
Author:
Affiliation:

(1.Longyuan Jiangyong Wind Power Generation Co.,Ltd.of CHN Energy Group,Changsha 410000,China;2.School of Energy and Power Engineering,Changsha University of Science & Technology,Changsha 410114, China;3.Xi'an Zhongke Qihang Monitoring and Control Technology Co.,Ltd.,Xi'an 712000,China)

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    摘要:

    在叶轮旋转过程中,位于风机叶片根部用于紧固的连接螺栓因受到周期性的弯曲应力而容易疲劳。弯曲疲劳是造成螺栓松弛、损伤甚至断裂的重要原因。本研究以某风电厂2 MW 风机高强连接螺栓为研究 对象,利用 PQ1-6弯曲疲劳试验机开展螺栓试样的旋转弯曲试验研究;通过宏观分析、化学成分分析、显微 组织检测及扫描电子显微镜断口微观分析等方法,探究试验过程中螺栓材料的组织演变规律,研究螺栓失效 的微观机理及其疲劳损伤的发展过程。结果表明:在250N 的负荷下螺栓的旋转弯曲疲劳寿命为76200周 次;由旋转弯曲疲劳载荷引起的螺栓试样组织演变和疲劳损伤累积呈全域性分布特点,并在螺栓试样材料的 不同部位形成了疲劳影响带,且其距离断口越近材料组织的疲劳损伤程度越大;疲劳损伤带由表及里向试样 内部扩展;断口处疲劳裂纹从试样表面开始萌生,断裂机理为韧性断裂;螺栓材料中的夹杂物加剧了弯曲疲 劳裂纹的集中和扩展,进一步缩短了螺栓的疲劳寿命。

    Abstract:

    In order to comprehensively solve the structural topology ptimization problem considering the self-weight influences and buckling constraints,a new topology optimization design method was proposed.First,for the problems of pseudo-buckling modes and parasitic effects caused by self-weight of low-density areas during the optimization process, and aiming to reduce the calculation,an improved material penalty model was proposed,and measures for identifying and deleting pseudo-buckling modes were introduced.Then,in order to overcome the stress stiffening problem of the conventional stress elements,the mixed stress element was used to accurately evaluate the structural stress.Based on the density filtering and Heaviside three-field mapping scheme,a topology optimization model satisfying buckling constraints and volume active constraints was established, whose object function was that the structural compliance considering self-weight influences was minimal.The adjoint variable method was used to derive the sensitivity of the buckling constraints,and the method of moving asymptotes(MMA) algorithm was adopted to optimize the model.Finally,examples were given to illustrate the correctness and feasibility of the method proposed in this study.

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引用本文

陈 标,何建军,程庆阳,等.风机叶片根部连接螺栓的弯曲疲劳试验研究[J].长沙理工大学学报(自然科学版),2021,18(3):105-110.
CHEN Biao, HE Jian-jun, CHENG Qing-yang, et al. Experimental research on bending fatigue of connecting bolt sat blade root of wind turbine[J]. Journal of Changsha University of Science & Technology (Natural Science),2021,18(3):105-110.

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  • 在线发布日期: 2022-03-05
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