Reliability assessment of measurement accuracy for FBG sensors used in structural tests of the wind turbine blades based on strain transfer laws
Reliability assessment of measurement accuracy for FBG sensors used in structural tests of the wind turbine blades based on strain transfer laws
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基于应变传递定律的风力机叶片结构试验中FBG传感器测量精度的可靠性评估
DOI：
10.1016/j.engfailanal.2020.104506
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发表时间：
2020-05
影响因子：
4
通讯作者：
De Jesus Abilio M. P.
中科院分区：
文献类型：
--
作者：
Liu Zheng;Liu Xin;Zhu Shun-Peng;Zhu Pingyu;Liu Waixi;Correia Jose A. F. O.;De Jesus Abilio M. P.
FBG传感器通常在粘贴到叶片表面之前被封装在复合材料内部，许多研究表明，中间层的材料、疲劳性能、几何参数等都会影响FBG传感器的测量精度。为此，本文建立了基于应变传递效率的复合材料封装FBG传感器测量精度可靠性计算模型，基于有限元分析方法分析了粘结层材料特性和几何参数对FBG传感器性能的影响，比较了不同载荷条件下FBG传感器应变传递效率和可靠性的差异。结果表明，粘结层的粘接长度和粘接厚度对FBG传感器的性能影响较大，在突加载荷作用下，FBG传感器的应变传递效率和可靠性均随时间的推移而降低，随交变载荷频率的增加而增大。
FBG sensors are often packaged within composites before they are pasted on the blade surface, and many studies have shown that the materials, fatigue properties, geometric parameters, etc. of intermediate layer have influences on the measuring accuracy of the FBG sensors. Thus, this paper established an reliability calculation model based on strain transfer efficiency for the measuring accuracy of FBG sensors packaged by composites, analyzed the influences of material properties and geometric parameters of the adhesive layer on the performance of FBG sensors based on finite element analysis (FEA) method, and then compared the differences of strain transfer efficiency and reliability of the FBG sensors under different load conditions. The results show that the bond length and the bond thickness of the adhesive layer have greater influences on the performance of the FBG sensors compared with other parameters, both the strain transfer efficiency and the reliability of the FBG sensors will reduce over time under suddenly applied load and increase with increasing frequency of the alternating load.
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影响因子：
4
作者：
Marin, J. C.;Barroso, A.;Canas, J.
通讯作者：
Canas, J.
流固分析方法及其在基于不确定性的叶片多学科设计与优化中的应用
影响因子：
2.1
作者：
Debiao Meng;Miao Liu;Shunqi Yang;Hua Zhang;Ran Ding
通讯作者：
Ran Ding
DOI：
10.1016/j.cma.2019.112649
发表时间：
2020-02
影响因子：
7.2
作者：
N. Xiao;Kai Yuan;Chengning Zhou
通讯作者：
N. Xiao;Kai Yuan;Chengning Zhou
影响因子：
4.1
作者：
Ki-Sun Choi;Y. Huh;I. Kwon;D. Yoon
通讯作者：
Ki-Sun Choi;Y. Huh;I. Kwon;D. Yoon
涡轮叶盘疲劳可靠性评估的计算实验方法
DOI：
10.1016/j.ijmecsci.2018.04.050
发表时间：
2018-07-01
影响因子：
7.3
作者：
Zhu, Shun-Peng;Liu, Qiang;Zhang, Xian-Cheng
通讯作者：
Zhang, Xian-Cheng