Theoretical and Experimental Studies of Structural Health Monitoring of Carbon Composites with Integrated Optical Fiber Sensors Based on Fiber Bragg Gratings

被引:0
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作者
Oleg Budadin
Vladimir Vavilov
Mikhail Fedotov
Sergei Vasiliev
Pavel Gnusin
Sofia Kozelskaya
Marina Kuimova
机构
[1] Central Research Institute of Special Mechanical Engineering,
[2] National Research Tomsk Polytechnic University,undefined
[3] National Research Tomsk State University,undefined
[4] Russian Academy of Engineering,undefined
[5] Prokhorov General Physics Institute of the Russian Academy of Sciences,undefined
[6] Neva Technology LLC,undefined
来源
Journal of Nondestructive Evaluation | 2021年 / 40卷
关键词
Structural health monitoring; Nondestructive testing; Carbon composite; Optical fiber sensor; Fiber Bragg grating; Deformation; Strain and temperature measurement;
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学科分类号
摘要
This paper describes research in the field of fiber optic nondestructive testing and structural health monitoring (SHM) of carbon fiber reinforced polymers (CFRP) by the use of integrated optical fiber sensors (OFS) based on fiber Bragg gratings (FBG). Basic mathematical expressions that represent optical SHM of composites are presented. Some new relationships are derived by considering the non-linear character of the FBG-sensor response and the combined effect of temperature and deformation. Both linear and non-linear coefficients of the sensor elements, as well as combined strain–temperature coefficients before and after the sensors are embedded into the composite panels, have been obtained. Experimental results on the strain state of CFRP under static and dynamic loads demonstrate the effectiveness of the proposed non-linear model for evaluating deformation in composites. It is shown that integrated OFS’s allow SHM of composite parts when mechanically loaded to failure, and that they can provide the actual level of strain in the composite parts in real time. SHM improves the operational safety of highly loaded and/or critical aerospace structures by providing real-time stress data, which would permit data-based decisions on overload conditions or imminent failure. Additionally, actual stress data from CFRP samples, or from real parts in use, could show whether the design of the parts should be changed to improve safety margins or to reduce weight.
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