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자료유형
학술저널
저자정보
Ciminello, Monica (C.I.R.A.- Italian Aerospace Research Center, Smart Structures Lab) Ameduri, Salvatore (C.I.R.A.- Italian Aerospace Research Center, Smart Structures Lab) Concilio, Antonio (C.I.R.A.- Italian Aerospace Research Center, Smart Structures Lab) Flauto, Domenico (University of Palermo, Aerospace Engineering Dept.) Mennella, Fabio (University of Napoli "Federico II", Composite Material Dept.)
저널정보
테크노프레스 Smart structures and systems Smart structures and systems 제15권 제6호
발행연도
2015.1
수록면
1,393 - 1,410 (18page)

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An original sensor system based on Fiber Bragg Gratings (FBG) for the strain monitoring of an adaptive wing element is presented in this paper. One of the main aims of the SARISTU project is in fact to measure the shape of a deformable wing for performance optimization. In detail, an Adaptive Trailing Edge (ATE) is monitored chord- and span-wise in order to estimate the deviation between the actual and the desired shape and, then, to allow attaining a prediction of the real aerodynamic behavior with respect to the expected one. The integration of a sensor system is not trivial: it has to fit inside the available room and to comply with the primary issue of the FBG protection. Moreover, dealing with morphing structures, large deformations are expected and a certain modulation is necessary to keep the measured strain inside the permissible measure range. In what follows, the mathematical model of an original FBG-based structural sensor system is presented, designed to evaluate the chord-wise strain of an Adaptive Trailing Edge device. Numerical and experimental results are compared, using a proof-of-concept setup. Further investigations aimed at improving the sensor capabilities, were finally addressed. The elasticity of the sensor structure was exploited to enlarge both the measurement and the linearity range. An optimisation process was then implemented to find out an optimal thickness distribution of the sensor system in order to alleviate the strain level within the referred component.

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