• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

风力涡轮机叶片在挥舞方向的全尺寸疲劳测试以及裂纹扩展对叶片性能影响的研究

Full-Scale Fatigue Testing of a Wind Turbine Blade in Flapwise Direction and Examining the Effect of Crack Propagation on the Blade Performance.

作者信息

Al-Khudairi Othman, Hadavinia Homayoun, Little Christian, Gillmore Gavin, Greaves Peter, Dyer Kirsten

机构信息

School of Engineering, Kingston University, London SW15 3DW, UK.

Offshore Renewable Energy Catapult (ORE), Blyth NE24 1LZ, UK.

出版信息

Materials (Basel). 2017 Oct 3;10(10):1152. doi: 10.3390/ma10101152.

DOI:10.3390/ma10101152
PMID:28972548
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5666958/
Abstract

In this paper, the sensitivity of the structural integrity of wind turbine blades to debonding of the shear web from the spar cap was investigated. In this regard, modal analysis, static and fatigue testing were performed on a 45.7 m blade for three states of the blade: (i) as received blade (ii) when a crack of 200 mm was introduced between the web and the spar cap and (iii) when the crack was extended to 1000 mm. Calibration pull-tests for all three states of the blade were performed to obtain the strain-bending moment relationship of the blade according to the estimated target bending moment (BM) which the blade is expected to experience in its service life. The resultant data was used to apply appropriate load in the fatigue tests. The blade natural frequencies in flapwise and edgewise directions over a range of frequency domain were found by modal testing for all three states of the blade. The blade first natural frequency for each state was used for the flapwise fatigue tests. These were performed in accordance with technical specification IEC TS 61400-23. The fatigue results showed that, for a 200 mm crack between the web and spar cap at 9 m from the blade root, the crack did not propagate at 50% of the target BM up to 62,110 cycles. However, when the load was increased to 70% of target BM, some damages were detected on the pressure side of the blade. When the 200 mm crack was extended to 1000 mm, the crack began to propagate when the applied load exceeded 100% of target BM and the blade experienced delaminations, adhesive joint failure, compression failure and sandwich core failure.

摘要

本文研究了风力涡轮机叶片结构完整性对腹板与翼梁帽脱粘的敏感性。在此方面,对一个45.7米长的叶片在三种状态下进行了模态分析、静态和疲劳测试:(i)初始叶片;(ii)在腹板和翼梁帽之间引入200毫米裂纹时;(iii)当裂纹扩展到1000毫米时。对叶片的所有三种状态进行了校准拉伸试验,以根据叶片在其使用寿命中预计承受的估计目标弯矩(BM)获得叶片的应变-弯矩关系。所得数据用于在疲劳试验中施加适当的载荷。通过对叶片的所有三种状态进行模态测试,找到了在一系列频域内叶片在挥舞方向和摆振方向的固有频率。每种状态下叶片的第一阶固有频率用于挥舞方向的疲劳试验。这些试验按照技术规范IEC TS 61400-23进行。疲劳试验结果表明,对于距叶片根部9米处腹板与翼梁帽之间200毫米的裂纹,在目标BM的50%下,裂纹在62110次循环内未扩展。然而,当载荷增加到目标BM的70%时,在叶片的压力侧检测到了一些损伤。当200毫米的裂纹扩展到1000毫米时,当施加的载荷超过目标BM的100%时,裂纹开始扩展,并且叶片出现了分层、粘结失效、压缩失效和夹心层芯材失效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/b90ad78aa6c8/materials-10-01152-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/02100627e4d0/materials-10-01152-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/c10cd5e6e0ce/materials-10-01152-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/eb82e35b1a29/materials-10-01152-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/867f41756e67/materials-10-01152-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/09655911bf7f/materials-10-01152-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/85650a79c636/materials-10-01152-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/65a78cca5f62/materials-10-01152-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/73109564e891/materials-10-01152-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/7ecbd7d5b5ef/materials-10-01152-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/9c7d6d504d16/materials-10-01152-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/7e322a408ac3/materials-10-01152-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/e982bbc24a2d/materials-10-01152-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/72f9094f82ed/materials-10-01152-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/0cb80b27a5ab/materials-10-01152-g014a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/82c4ebf14565/materials-10-01152-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/badd9a9c3cf9/materials-10-01152-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/f373e4a1b8e3/materials-10-01152-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/b90ad78aa6c8/materials-10-01152-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/02100627e4d0/materials-10-01152-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/c10cd5e6e0ce/materials-10-01152-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/eb82e35b1a29/materials-10-01152-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/867f41756e67/materials-10-01152-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/09655911bf7f/materials-10-01152-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/85650a79c636/materials-10-01152-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/65a78cca5f62/materials-10-01152-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/73109564e891/materials-10-01152-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/7ecbd7d5b5ef/materials-10-01152-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/9c7d6d504d16/materials-10-01152-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/7e322a408ac3/materials-10-01152-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/e982bbc24a2d/materials-10-01152-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/72f9094f82ed/materials-10-01152-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/0cb80b27a5ab/materials-10-01152-g014a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/82c4ebf14565/materials-10-01152-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/badd9a9c3cf9/materials-10-01152-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/f373e4a1b8e3/materials-10-01152-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af6a/5666958/b90ad78aa6c8/materials-10-01152-g018.jpg

相似文献

1
Full-Scale Fatigue Testing of a Wind Turbine Blade in Flapwise Direction and Examining the Effect of Crack Propagation on the Blade Performance.风力涡轮机叶片在挥舞方向的全尺寸疲劳测试以及裂纹扩展对叶片性能影响的研究
Materials (Basel). 2017 Oct 3;10(10):1152. doi: 10.3390/ma10101152.
2
PSO-BP Neural Network-Based Strain Prediction of Wind Turbine Blades.基于粒子群优化-反向传播神经网络的风力发电机叶片应变预测
Materials (Basel). 2019 Jun 12;12(12):1889. doi: 10.3390/ma12121889.
3
Delamination Fracture Behavior of Unidirectional Carbon Reinforced Composites Applied to Wind Turbine Blades.应用于风力涡轮机叶片的单向碳增强复合材料的分层断裂行为
Materials (Basel). 2021 Jan 27;14(3):593. doi: 10.3390/ma14030593.
4
Numerical and Experimental Analysis of Horizontal-Axis Wind Turbine Blade Fatigue Life.水平轴风力涡轮机叶片疲劳寿命的数值与实验分析
Materials (Basel). 2023 Jul 3;16(13):4804. doi: 10.3390/ma16134804.
5
Prediction of Fatigue Crack Growth in Gas Turbine Engine Blades Using Acoustic Emission.利用声发射预测燃气轮机叶片疲劳裂纹扩展
Sensors (Basel). 2018 Apr 25;18(5):1321. doi: 10.3390/s18051321.
6
Structural Testing by Torsion of Scalable Wind Turbine Blades.通过扭转对可扩展风力涡轮机叶片进行结构测试。
Polymers (Basel). 2022 Sep 21;14(19):3937. doi: 10.3390/polym14193937.
7
Research on Integrated Control Strategy for Wind Turbine Blade Life.风力发电机组叶片寿命综合控制策略研究
Sensors (Basel). 2024 Sep 3;24(17):5729. doi: 10.3390/s24175729.
8
Root Causes and Mechanisms of Failure of Wind Turbine Blades: Overview.风力涡轮机叶片失效的根本原因与机制:综述
Materials (Basel). 2022 Apr 19;15(9):2959. doi: 10.3390/ma15092959.
9
Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement.用于低容量风力涡轮机叶片振动测量的自主传感器系统
Sensors (Basel). 2024 Mar 7;24(6):1733. doi: 10.3390/s24061733.
10
Analysis of the Effect of Fiber Orientation on Mechanical and Elastic Characteristics at Axial Stresses of GFRP Used in Wind Turbine Blades.纤维取向对风力涡轮机叶片用玻璃纤维增强塑料轴向应力下力学和弹性特性的影响分析
Polymers (Basel). 2023 Feb 9;15(4):861. doi: 10.3390/polym15040861.

引用本文的文献

1
A novel method for the natural frequency estimation of the jet engine turbine blades based on its dimensions.一种基于喷气发动机涡轮叶片尺寸的固有频率估计新方法。
Heliyon. 2024 Feb 9;10(4):e26041. doi: 10.1016/j.heliyon.2024.e26041. eCollection 2024 Feb 29.
2
Root Causes and Mechanisms of Failure of Wind Turbine Blades: Overview.风力涡轮机叶片失效的根本原因与机制:综述
Materials (Basel). 2022 Apr 19;15(9):2959. doi: 10.3390/ma15092959.
3
Coupled Free Vibration of Spinning Functionally Graded Porous Double-Bladed Disk Systems Reinforced with Graphene Nanoplatelets.

本文引用的文献

1
Improving the fracture toughness and the strength of epoxy using nanomaterials--a review of the current status.使用纳米材料提高环氧树脂的断裂韧性和强度——现状综述
Nanoscale. 2015 Jun 21;7(23):10294-329. doi: 10.1039/c5nr01354b.
石墨烯纳米片增强的旋转功能梯度多孔双叶片盘系统的耦合自由振动
Materials (Basel). 2020 Dec 9;13(24):5610. doi: 10.3390/ma13245610.
4
A Pattern Recognition Approach to Acoustic Emission Data Originating from Fatigue of Wind Turbine Blades.一种针对源自风力涡轮机叶片疲劳的声发射数据的模式识别方法。
Sensors (Basel). 2017 Nov 1;17(11):2507. doi: 10.3390/s17112507.