@inproceedings{c2a7fbdb0b2f4d96994606f0ab70dfca,
title = "Deformed wing shape prediction using fiber optic strain data – ifasd 2017",
abstract = "This study presents a wing shape prediction technique for high-aspect-ratio wings based on measured strains at multiple sensing stations. For the measurement of strain data, fiber Bragg grating (FBG) sensors are used due to their lightness and excellent multiplexing capability. The strain-displacement transformation (SDT) is formulated based on the curvature function of nonlinear beam. The deformed shape is evaluated by numerical double integration of curvature functions. In the laboratory, the developed technique is applied to a high-aspect-ratio wing in which FBG sensors are attached to the surface of the wing beam. The bending deflections are calculated using the proposed method when the wing is subjected to different static loads. At the same time, finite element analysis (FEA) and a laser displacement sensor (LDS) capture the deflection of the wing to validate the estimated wing shape. For three static loading cases, the estimated results obtained by SDT show good agreements with the reference measurements.",
keywords = "Fiber bragg grating (FBG) sensors, Large deformation, Prediction, Shape, Strain-displacement transformation (SDT)",
author = "Yang Meng and Changchuan Xie and Zhiqiang Wan",
note = "Publisher Copyright: {\textcopyright} 2017 International Forum on Aeroelasticity and Structural Dynamics (IFASD). All rights reserved.; 17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017 ; Conference date: 25-06-2017 Through 28-06-2017",
year = "2017",
language = "英语",
series = "17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017",
publisher = "International Forum on Aeroelasticity and Structural Dynamics (IFASD)",
booktitle = "17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017",
}